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New frontier of hybrid energy storage devices: evolution of capacitive mechanisms and escalation of nanocomposite materials

Salman Farsi a, Mushfiqur Rahman a, Thuhin K. Dey be, A. J. Saleh Ahammad c and Mamun Jamal *d
aDepartment of Materials Science & Engineering, Faculty of Electrical Engineering, Khulna University of Engineering & Technology, Khulna, Bangladesh
bDepartment of Leather Engineering, Faculty of Mechanical Engineering, Khulna University of Engineering & Technology, Khulna, Bangladesh
cDepartment of Chemistry, Jagannath University, Dhaka 1100, Bangladesh
dDepartment of Chemistry, Faculty of Science & Humanities, Khulna University of Engineering & Technology, Khulna, Bangladesh. E-mail: mamun.jamal@chem.kuet.ac.bd
eSchool of Engineering, RMIT University, VIC 3001, Australia

Received 31st July 2025 , Accepted 29th September 2025

First published on 14th October 2025


Abstract

The growing popularity of portable electronic devices has led to a high demand for advanced energy storage technology, driven by advancements in power generation, electrification, and transportation. Hybrid energy storage devices offer high energy density, wide potential windows, rapid charging, long cycle life, and flexibility. Nanostructured materials further enhance device performance through synergistic effects. This review compiles a comprehensive range of materials, showcasing their evolution from traditional to advanced forms based on enhanced properties for hybrid energy storage devices. It also critically examines the mechanisms specific to material groups, informed by research advancements. Along with this, we critically describe the adjacent mechanisms that are possessed by individual groups of materials from the evolution phenomena of research progress. Future research scope has also been discussed with focus on the potential of new nanocomposite materials in enhancing capacitive mechanisms.


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Salman Farsi

Salman Farsi received his BSc in Materials Science and Engineering from Khulna University of Engineering and Technology (KUET), Bangladesh, in 2022. He is currently pursuing his postgraduate studies in Nanomaterials and Ceramic Engineering at Bangladesh University of Engineering and Technology (BUET). Mr Farsi previously worked as a Production Engineer at Bangladesh Steel Re-Rolling Mills Limited (BSRM), where he gained valuable industrial experience in manufacturing processes. His research interests include nanomaterials, metal-ion and redox flow batteries, and advanced energy storage devices.

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Mushfiqur Rahman

Mushfiqur Rahman received his BSc in Materials Science and Engineering from Khulna University of Engineering and Technology (KUET), Bangladesh, in 2022. He is currently working as a Production Engineer at Packer Leather, Australia. His research interests include nanomaterials and nanotechnology.

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Thuhin K. Dey

Thuhin Kumar Dey is a PhD student in Civil and Infrastructure Engineering at RMIT University, supported by the ARC PhD fellowship. He holds an M.Sc and a B.Sc in Leather Engineering from Khulna University of Engineering & Technology (KUET), Bangladesh. His research initially centered on the separation of microplastics and nanoplastics using membrane filtration, resulting in several publications in reputable journals. Currently, his research is focused on the fabrication of MOF-based composite membranes for the separation of nanoplastics from wastewater.

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A. J. Saleh Ahammad

A. J. Saleh Ahammad is currently working as a Professor in the Department of Chemistry, Jagannath University, Bangladesh. He received his BSc and MSc from the Department of Chemistry, University of Dhaka. He obtained his PhD in 2011 from Konkuk University, Korea. Then he moved to Centre for Advanced Research in Sciences (CARS), University of Dhaka, and worked as Senior Scientist. In 2013, he got a faculty position in the Department of Chemistry, Jagannath University. He did his Postdoctoral Research in the Department of Chemical Engineering, Sungkyunkwan University, Korea. His research interest includes nanochemistry, material sciences, surface modification, electrochemical sensors and biosensors, water splitting, and supercapacitors.

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Mamun Jamal

Dr. Mamun Jamal is a Professor in the Department of Chemistry at Khulna University of Engineering and Technology (KUET), Bangladesh. He earned his BSc and M.Sc. degrees in Chemistry from the University of Dhaka, Bangladesh, and PhD from the University of Limerick, Ireland. Dr Jamal subsequently pursued postdoctoral research at Technological University Dublin and worked as a Research Scientist at the Tyndall National Institute, Cork, Ireland, before joining KUET as a faculty member. He has served as Head of the Department of Chemistry and currently leads the Electrochemistry and Catalysis Research Group. Under his leadership, the group has received support from the ICT Ministry to commercialize biodegradable plastics and ion-selective electrodes through the university's incubation hub. Dr Jamal is a member and chartered chemist of the Royal Society of Chemistry, and member of the American Chemical Society.


1. Introduction

The global economy is rapidly expanding, fossil fuels are depleting, and accelerating environmental deterioration is putting enormous burden on the planet. In order to effectively regulate this, new energy conversion and storage technologies, as well as sustainable, clean, and efficient energy sources, are required. As a result, electrochemical supercapacitors, batteries and super-capatteries are the most often utilized energy storage technologies.1 However, batteries have a slow power delivery or uptake rate, making them unable to meet faster and higher-power energy demands. In this scenario, a supercapacitor is created to store and release energy for electrical applications. Supercapacitors are also projected to have a power density comparable to ordinary capacitors, bridging the gap in terms of specific energy and power density between batteries and traditional capacitors.2 Rechargeable batteries have greater storage capacity than supercapacitors, which are superior in terms of power, energy efficiency, and cycle life. Several hybrid devices, such as lithium-ion capacitors, redox capacitors and pseudocapacitors, have been developed as a result of their complementary advantages.3 Although these hybrids do not retain charge in the same way that a capacitor does, the word capacitor in their titles has led to the misapplication of capacitance as a performance metric.4 Although the phrase ‘lithium-ion capacitor’ first arose in 2007; a combination of capacitive and lithium storage electrodes was mentioned recently.5–7 Because of its strong ties to lithium-ion batteries, lithium-ion capacitor research and development have kept pace with those of other ion capacitors.8 Supercapattery, however, was rarely mentioned in the literature prior to 2015. Curiosity and study of new and superior electrochemical energy storage methods, materials and technologies beyond supercapacitors and rechargeable batteries have fueled recent growth in interest.9

The other, more basic cause has to do with pseudocapacitance, which has been incorrectly utilized to explain the behavior of several novel transition metal compounds capable of Nernstian storage.10 There is growing concern regarding the above-mentioned mentioned hybrid devices, which are no longer categorized strictly as capacitors or supercapacitors, due to their charge storage mechanisms resembling those of rechargeable batteries. This similarity can lead to confusion with true supercapacitors, particularly in terms of their fundamental principles and commercial development. The term supercapattery offers a unified conceptual framework for studying, comparing, and communicating about these hybrid electrochemical energy storage systems. It is a relatively new term that is gradually gaining recognition within the electrochemical energy storage community.11,12 Metal-ion capacitors such as Li-ion and Na-ion capacitors behaves like supercapattery, where it integrate a battery-type electrode that stores charge through faradaic redox reactions with a capacitive electrode that relies on electrostatic charge accumulation, ultimately combining the benefits of both batteries and supercapacitors.13

Thereby, in this study, a comprehensive review of the literature on the evolution of processes and material escalation in energy storage devices is presented. Thus, a new frontier opens up to the researchers to develop mechanisms based on specific materials performances and nanocomposite materials, bringing about new blessings on energy storage devices that are also ranked based on the performance study. Finally, we incorporate the focus of future research prospects via new nanocomposite materials contributions and evolution on capacitive mechanisms. This analysis highlights current issues in energy storage device design, development, and future research prospects.

2. Evolution of capacitive mechanisms

Researchers have identified electrochemical energy storage mechanisms as complementary options for energy harvesting across various scales, often proving more effective than widely adopted methods like pumped hydroelectric storage. These mechanisms offer high energy and power densities, long cycle life, and the potential for commercial cost-effectiveness.10 While metal-ion intercalation systems provide high energy capacities and electric double-layer capacitors (EDLCs) deliver excellent power capabilities and long cycle life, each mechanism alone falls short of meeting all the criteria required for successful commercialization, despite notable advancements in both areas over the past two decades.14 Fig. 1 highlights a chronological development of different electrochemical storage mechanisms. To address this, the evolution of energy storage mechanisms has been necessarily and preliminarily demonstrated, in which such mechanisms are categorized into four different segments: (i) EDLC, (ii) pseudo-capacitance, (iii) pseudo-battery, and (iv) metal-ion-intercalation, which can combine the merits of one mechanism with those of others into one device. Fig. 2 describes how pseudocapacitive processes bridge the gap between conventional capacitors and battery-type systems.
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Fig. 1 Evolution scenario of energy reservoir mechanisms including innovative capacitive revolution according to the period.

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Fig. 2 Schematic illustration of the progress in capacitive charge-storage mechanisms, showing the underlying reaction processes and associated performance characteristics.

2.1 Electric double layer capacitance

The first revolutionary energy storage mechanism is electric double layer capacitance (EDLC) due to adsorption of columbian charge near the electrode–electrolyte boundary.14,15 The electrical double layer mechanism is mainly an electrostatic and electrochemical process in which different models have been proposed for the electrical double-layer mechanism and its structural phenomenon. The three most prominent models are: (i) the Helmholtz double-layer model, (ii) the Gouy–Chapman model, and (iii) the Stern model. Helmholtz hypothesized that the double layer was a quasi-two-dimensional model that consisted of two arrays of opposite charges in which distance separation was about the atomic size. The Helmholtz model is not appropriate for complex systems because ions on the electrolyte solution side are dynamic, but due to thermal changes that rely on electrostatic forces between the ions and the charged metal. Subsequently, an evolution of this theory was carried out by Gouy and Chapman, with some more advances on counter ions. It was pointed out that the counter ions become conjugated within a three-dimensional structural phenomenon in which six electron charges become conjugated with the metal surfaces, appearing as a densely distributed cation and anion stream. An incorrect fact with this model is the local field surrounding the electrode surface, and further prediction is of higher capacitance. The rate of change of the net ionic charge on the electrolyte side of the metal – electrolyte interface is defined later, in which charges support the potential difference across the interface.

The overestimation of the higher double-layer capacitance in the Gouy–Chapman hypothesis was improved by Stern. The ion distribution on the inner layer was determined using Stern's model, owing to the adsorption of ions using Langmuir's adsorption isotherm. The diffuse layer containing the scattered ionic charges was regarded as the region between the inner layer and the electrolyte solution (Fig. 3).14 Bockris, Devanathan, and Muller developed a model in the 19th century that included the solvent action. It was proposed that due to the electrode's charge, dipoles of the water molecules become aligned, results a layer of water marks at the electrode surface within the inner Helmholtz plane.16 Consequently, the electric double layer consists of two opposing charge layers: one embedded within the lattice structure of the electrode surface, and the other formed by oppositely charged, dissolved, and solvated ions from the electrolyte. The two levels are divided by a monolayer of solvent molecules, such as water molecules in the case of water as a solvent, known as the inner Helmholtz plane (IHP). Solvent molecules attach to the surface of the electrode via physical adsorption, separating oppositely polarized ions, and can be idealized as a molecular dielectric. Because there is no charge transfer between the electrode and electrolyte during the process, the forces that produce adhesion are physical forces, such as electrostatic forces. In the outer Helmholtz plane, the intensity of counter-charges corresponds to the amount of charge in the electrode (OHP). As a fundamental capacitive mechanism, it represents the initial advancement in hybrid energy storage systems, wherein electrostatic charge separation at the electrode–electrolyte interface facilitates rapid and reversible energy storage, establishing the groundwork for advanced nanostructured materials to improve device performance.


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Fig. 3 Schematic representation of a double-layer of positive ions in the electrode and solvated cation ions in the liquid medium, detached by a layer of polarized solvent molecules and representation of EDLC configurations: Helmholtz model, Gouy–Chapman model and Gouy–Chapman–Stern model.14 [Reproduced from ref. 14 with permission from Springer, copyright 2025].

2.2 Pseudo-capacitance

Secondly, pseudocapacitance arises when the electric double layer is penetrated by ions adsorbed from the electrolyte. This type of capacitance stores electrical energy through reversible faradaic redox reactions occurring at the surface of suitable electrode materials. In this process, only one electron per charge unit contributes to the pseudocapacitance, involving charge transfer between the electrode and the electrolyte, initiated by an adsorbed and de-solvated ion-illustrated on the left side of the figure below. These fast and reversible processes, such as redox reactions, ion intercalation, or electrosorption, enable faradaic charge transfer without forming chemical bonds. That is, no chemical reaction occurs between the adsorbed ion and the electrode atoms; only electron transfer takes place.17

Several types of faradaic reactions may occur at the electrode surface, generally classified into three main types: (i) reversible adsorption (e.g., hydrogen adsorption on gold or platinum); (ii) redox reactions involving transition metal oxides (e.g., RuO2), and (iii) reversible electrochemical doping and de-doping in conductive polymer-based electrodes.1 Although it is known since the 19th century that the conducting polymers showed pseudo-capacitance for super-capacitor applications through doping and de-doping of the polymer backbone and for sustaining charge neutrality that may result from intercalation and de-intercalation of electrolyte ions through the polymer electrodes, but the concept were harnessed during the 20th century.18 Pseudo-capacitors containing conducting polymers and doping/de-doping processes are associated with charge/discharge processes. Organic polymers can be doped in two ways—p-doping (oxidation) and n-doping (reduction)—both of which can significantly enhance the polymer's conductivity, even up to metallic levels. In p-doping, the polymer undergoes partial oxidation, with counter anions (A) inserted to maintain electrical neutrality (as shown in eqn (1)). Conversely, n-doping involves partial reduction of the polymer, accompanied by the insertion of counter cations (M+) to preserve charge balance (as illustrated in eqn (2)).

 
Pmxe + xA < charge/discharge > Pmx+ Ax (1)
 
Pm + xe + xM+ < charge/discharge > Pmx Mx+ (2)
where x is the number of charges transferred and m is the polymerization degree.19 As part of the continuous evolution in hybrid energy storage systems, it incorporates surface-controlled faradaic processes, where rapid and reversible redox reactions at the electrode–electrolyte interface improve the capacitance significantly through various mechanisms such as ion adsorption, intercalation, and electrochemical doping. It made the groundwork for the future use of high-performance pseudocapacitive materials such as conducting polymers and metal oxides (Fig. 4).14,20


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Fig. 4 Schematic illustration of a double-layer with specifically adsorbed ions which have gave up their charge to the electrode to occur the faradaic charge transfer of the pseudo-capacitance (left side) and simplified view of the charge storage mechanisms in surface redox (right side).14,20 [Reproduced from ref. 14 and 20 with permission from Springer, copyright 2025].

2.3 Pseudo-battery

The pseudo-battery represents a novel class of charge storage mechanisms that utilizes the intercalation and de-intercalation of cations (e.g., Li+, Na+, etc.) while not being limited by the diffusion of cations within the crystal structure of charge transfer materials (Fig. 4). This mechanism merges the benefits of both batteries and supercapacitors by enabling charge storage without the typical diffusion constraints.

According to Yonggang Wang et al., the kinetics of pseudo-battery behavior closely resemble those of conventional pseudocapacitive systems, yet the electrode characteristics mirror those of battery-type electrodes, where charge storage occurs within a narrow potential window.21 In the literature, this mechanism is often referred to as “intercalation pseudocapacitive behavior”, indicating its kinetics are akin to linear, diffusion-independent pseudocapacitive systems. The underlying electrochemical process remains characteristic of battery-type electrodes-specifically, redox reactions facilitated by cation intercalation into the crystalline structure of active materials.

The terminology “pseudo-capacitance” is used to describe some oxide materials (RuO2, MnO2) or conducting polymer materials (PANI, PPy etc.) that have the electrochemical sign of a capacitive electrode (such as carbon based materials) it means a linear relationship between the charge stored and the width of the potential window and even though charge storage comes from different reaction mechanisms. Misunderstanding for readers because the concept of “capacitance” cannot relate to faradaic behavior, whereas “capacity” is the most suitable and significant.22

Although scientists have clearly described how different energy storage materials work, some confusion still exists. Many materials that behave like batteries—such as Ni(OH)2;23 have been incorrectly described as pseudocapacitive in research papers. This leads to misunderstandings about how they actually store energy. For instance, MnO2 often shows a rectangular-shaped curve in tests (called cyclic voltammetry), which looks like a pseudocapacitor, but it doesn't truly work the same way. Battery-type materials like Ni(OH)2 behave very differently. This confusion also applies to materials like cobalt oxides or hydroxides,24 and even mixtures like nickel–cobalt oxides. According to Han Shao, several other materials—such as NiO, Co3O4, Ni(OH)2, and CoHPO4—have also been wrongly labeled as pseudocapacitive, which is technically incorrect.25

Such materials do not have the capacitive performance of carbon-based materials, such as rectangular CV and linear charge–discharge graphs. These faradaic reactions, on the other hand, are driven by diffusion and absorption on the surface of the electrode, rather than the intercalation/deintercalation mechanism found in metal ion batteries. ‘Pseudo’ signifies almost or approaching, therefore, these materials should be named pseudo-battery-type materials since they have battery-like activity and yet no intercalation or massive structure changes created by alloying and conversion that as shown in Fig. 5. One of the most common pseudo-battery-type materials are metal oxides and phosphates, and their storing mechanisms are described in more detail.26


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Fig. 5 Schematic view of different charge storage mechanisms (A) charge storage mechanism of rechargeable battery that is ion-intercalation; (B) charge storage mechanism of fast intercalation pseudo-battery.21 [Reproduced from ref. 21 with permission from The Royal Society of Chemistry, copyright 2025].

The distinction between pseudo-capacitive and battery behavior is more evident and direct in the CV characteristics. We think that our analysis may give a new frontier on this issue and enable readers to properly present their electrodes. As a part of continuous development in hybrid energy storage systems, the pseudo-battery concept fills the gap between batteries and supercapacitors by joining surface and diffusion-controlled redox reactions, resulting in elevated energy and power density.

2.4 Ion-intercalation

In general, materials that store energy through metal-ion intercalation (inserting metal ions like Li+ into layered structures) are known for their good cycle stability-meaning they can be charged and discharged many times without degrading. However, their theoretical energy capacity is relatively low. In contrast, two other types of charge storage mechanisms can offer much higher capacity, but they suffer from large volume changes during charging and discharging, which reduces their long-term stability and energy efficiency.27

In traditional metal-ion batteries, charging and discharging happen through the intercalation and de-intercalation of metal ions.28 For example, in a LiCoO2–graphite battery, when charging, lithium ions (Li+) move out of the layered structure of the LiCoO2 cathode, forming CoO2. During discharge, the lithium ions return, reversing the process. The charge storage of a battery is regulated by cation diffusion inside a crystalline structure, which is shown in Fig. 4. In addition to the intercalation process outlined above, the mechanisms involved in all rechargeable batteries include “phase-transformation” or alloying reactions. We simply use the intercalation process in the metal-ion battery as an example here to show how a super-capacitor's charge storage mechanism differs from that of a rechargeable battery. Intercalation with minimal crystallographic phase changes: charge storage is usually accompanied by crystallographic phase changes in many metal ion intercalation materials.21

The ability of certain materials to easily take in and release metal ions depends heavily on their open crystal structures, chemical makeup, ion concentration, and particle shape. These factors all influence how well a material performs in a battery. During each charge and discharge cycle in a metal-ion battery, the number of metal ions inside the electrodes changes a lot, often leading to structural transformations in the material. These changes can include:

Order-disorder transitions (where atoms or ions become more randomly arranged), two-phase reactions (where different crystal structures exist at once and an interface moves through the material), and phase shifts in the crystal structure itself. While the chemical composition of an electrode determines the voltage range it operates in, the crystal structure affects the shape of the voltage curve as metal ions move in and out. In many key intercalation materials, vacancy clusters-groups of missing atoms or ions in the crystal-help metal ions move through the structure more easily. As a metal ion is given to an already metal ion-rich host, this process derives from the unique crystallographic characteristics of the host, resulting in a significant drop in the metal ion diffusion coefficient.29 This ultimate evolutionary phase encompasses ion intercalation in layered or tunnel-structured electrode materials, wherein reversible insertion without structural degradation provides improved cycle stability, capacity retention, and hybridized charge storage performance for next-generation energy devices.

2.5 Real-time and practical applications of hybrid capacitive mechanisms spectroscopy

Electrochemical impedance spectroscopy (EIS) delivers information that changes with frequency, shedding light on charge movement, ion diffusion, and events at interfaces. This information is crucial for identifying the fundamental energy storage process. For electric double-layer capacitors (EDLCs), the EIS Nyquist plot usually features a line that is almost vertical in the low-frequency part. This shape points to purely capacitive behavior driven by electrostatic charge separation, with no chemical reactions involved.30 The plot also reveals a low equivalent series resistance and a very small semicircle, confirming rapid ion adsorption and desorption. In contrast, pseudocapacitive materials show a flattened semicircle in the high to middle frequency range, caused by resistance from charge transfer in chemical reactions. At low frequencies, this is followed by a slanted line. This combined pattern suggests energy storage comes from both surface-based redox reactions and capacitive ion adsorption. Meanwhile, EIS data for battery-like systems often display a larger semicircle, indicating slower reaction kinetics, and a Warburg diffusion tail at low frequencies, a sign of ions moving into the bulk material. This helps tell them apart from pseudocapacitors, where charge transfer is quicker and confined to the surface. For electrodes that store charge through ion insertion into the crystal structure, EIS highlights strong Warburg impedance and extended diffusion traits, as the movement of ions in and out of the lattice controls the speed. The semicircle related to charge transfer resistance is typically larger, matching the nature of reactions that involve the bulk material.

Therefore, by examining Nyquist plots and frequency responses, EIS can effectively separate capacitive (EDLC), surface-reaction-based (pseudocapacitive), and diffusion-controlled (battery-like or ion-insertion) charge storage mechanisms.31 When EIS is used during device operation (operando), it becomes possible to link changes in resistance, diffusion, and charge-transfer dynamics to the applied voltage.32 Together, these advanced analysis techniques offer vital insights into the operating mechanisms—insights that studies conducted on inactive materials cannot provide. They are essential for connecting the discovery of new materials to the practical improvement of device performance.

3. Hybrid capacitive mechanism

By EDLC mechanism, researchers found that higher energy density can be achieved without altering power density and high cyclic stability. In the meantime, a battery-type metal ion-intercalation mechanism was also applied to super-capacitive behavior as a hybrid strategy for getting higher-performance devices. So, a new window is opened to touch our desired passion to achieve fast charging-discharging energy reservoir devices within higher capacitance value, high energy and power density, excellent rate capability along with cyclic stability and high potential windows by merging different types of materials that possessed different types of mechanism strategies shown below in Fig. 6. Finally, a lot of efforts and focus give on hybrid capacitive mechanism-based devices fabrication to achieve desired properties in modern era (Table 1).
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Fig. 6 Schematic illustrations of different types of materials containing various types of charge storage mechanisms can merge to build up a hybrid capacitive mechanism via a controlled synthesis phenomenon.
Table 1 Summary of capacitive charge storage mechanisms, materials, properties
Mechanism Materials/description Property/characteristics Electrochemical signature Advantages Disadvantages Limitations Examples References
EDLC (electric double-layer capacitance) Carbon-based materials High conductivity, power density, non-faradaic electrostatic ion adsorption CV: Rectangular, GCD: linear/triangular Excellent power density, ultra-fast charge/discharge, very long cycle life, high stability & safety Very low energy density Limited to surface area, ineffective for long-term energy storage Graphene, CNT, carbon fiber 33
Pseudo-capacitance (PC) Conducting polymer, complex ceramics, metal oxides High capacitance, cyclic stability, lightweight, flexibility, surface/near-surface reversible redox reactions CV: Quasi-rectangular with small redox humps, GCD: Slightly nonlinear slope Higher capacitance & energy density, faster response Lower cycle stability, poor conductivity Moderate stability, limited scalability PANi, PPy, PEDOT, MnO2, RuO2 34
Pseudo-battery (PB) Metal oxides and hydrides Fast charging-discharging, long usability. Ion intercalation with partial diffusion control CV: broad redox peaks (not sharp), GCD: nonlinear with plateau-like regions Higher energy density than EDLC/PC, faster than batteries Lower cycle life, slower kinetics Mechanical stress, needs nanostructuring/carbon support Ni(OH)2, NiO, Co3O4 13
Ion intercalation (battery-type) Battery-type electrode materials High energy density, higher capacity, bulk ion insertion/extraction with phase transition CV: distinct sharp redox peaks, GCD: voltage plateaus Very high energy density, long-duration storage Poor power density, mechanical degradation Significant volume change, poor long-term cycling LiCoO2, LiTi4O, LiFePO4 35


4. Fabrication and architectures of hybrid capacitive nanocomposites

4.1 Design and fabrication strategies of electrode materials

The performance of supercapacitors is deeply connected to the way electrode materials are created and structured. Various synthesis methods are available to adjust physical form, pore structure, electrical conductivity, and flexibility, all of which help enhance energy storage capability. A comparative overview of flexible electrode fabrication methods has been shown in Table 2. Hydrothermal synthesis: these methods use solutions to produce well-defined nanocrystals with specific shapes like nanorods, nanosheets, or hollow spheres. These structures improve the movement of ions and electrons and increase surface availability.36 In situ polymerization: conducting polymers such as PANi, PPy, and PEDOT can be grown directly onto conductive backings. This ensures excellent contact at the interface, even coating, and the flexibility needed for bendable and wearable electronics.37
Table 2 Comparative overview of flexible electrode fabrication methods
Fabrication method Typical structure Electrochemical performance Advantages for flexible/wearable devices References
Hydrothermal/solvothermal Nanorods, nanosheets, hollow spheres High surface area → enhanced ion/electron transport; good capacitance Controlled morphology; scalable; tunable crystallinity 36
In situ polymerization Conducting polymer coatings on substrates (PANi, PPy, PEDOT) High capacitance; good cycling stability Strong interfacial contact; uniform coating; mechanical flexibility; suitable for wearable electronics 37
Sol–gel processing Homogeneous oxide networks Tunable porosity and crystallinity; high capacitance; long-term cycling stability Molecular-level precursor mixing; easily tailored porosity; compatible with flexible substrates 38
Electrospinning 1D nanofibers; interconnected porous networks High surface area; enhanced conductivity; good charge storage Excellent mechanical flexibility; supports symmetric and hybrid devices; lightweight 39
Electrodeposition Conformal coatings/thin films Tunable thickness; strong adhesion; improved cycling stability Direct deposition on current collectors; uniform films; adaptable for flexible substrates 40 and 41
Templating/biomass-derived carbons Hierarchical porous structures Competitive capacitance; good rate capability Low cost; sustainable; hierarchical porosity enhances ion transport; adaptable for flexible devices 42 and 43


Sol–gel processing: the sol–gel technique allows precursors to mix at the molecular level, resulting in uniform oxide networks with adjustable porosity and crystal structure. This method can lead to high capacitance and stable performance over many charge–discharge cycles.38

Electrospinning: this flexible method creates one-dimensional nanofibers that form interconnected porous networks. Carbon-based materials and composites made this way offer high surface area and good conductivity, making them suitable for both symmetric and hybrid devices.39 Electrodeposition: this is a controllable way to deposit uniform coatings and thin films directly onto current collectors. Electrodes made this way have adjustable thickness, adhere strongly to the substrate, and often show improved long-term cycling stability.40,41 Templating and biomass-derived methods: using hard or soft templates, as well as carbons produced from sustainable biological waste, can create materials with multiple levels of porosity and tunable surface properties. These approaches provide competitive capacitance in a cost-effective manner.42,43 In summary, these fabrication techniques allow scientists to build zero-dimensional nanoparticles, one-dimensional nanofibers or nanotubes, two-dimensional nanosheets, and three-dimensional porous frameworks. Each structure offers specific advantages for ion and electron transport. A solid grasp of these methods is key to developing high-performance supercapacitor technologies that can be produced on a larger scale.

4.2 Nanocomposite designs for hybrid capacitive storage

Nano-structuring enhances the higher surface area, excellent carrier mobility and electrochemical activity of energy reservoir materials, building up superior performances in the energy harvesting field. Particularly, several nanostructured configurations are invented, including nanofibers, hollow spheres, nano-rods, nano-bowls, nanotubes and ultrathin films.44 Vertically aligned nanowire arrays have emerged as one of the most promising nanostructured architectures for energy storage applications, offering distinct advantages over randomly oriented nanowires. Firstly, each nanowire is directly and electrically connected to the underlying conductive substrate, ensuring that the entire array contributes to the overall capacity. Secondly, the vertically aligned configuration provides direct one-dimensional (1D) electron pathways, facilitating efficient charge transport and reducing ion diffusion distances, which collectively enhance high-rate electrochemical performance. Thirdly, in contrast to bulk or micron-scale materials, the inter-nanowire spacing in these arrays can effectively accommodate volume changes during repeated charge/discharge cycles, thereby mitigating mechanical degradation and improving structural stability.45 Based on capacitive mechanisms, materials are divided into different category where every types of materials processing different kinds of energy reservoir performances (Fig. 7). Information on EDLC and carbon materials have been provided more detailed in Section 2.1 and in Table 3.1,47
image file: d5ra05583k-f7.tif
Fig. 7 Schematic of heterogeneous nanostructures based on (a–c) 0D, (d–f) 1D, (g–i) 2D and (j–l) 3D nanostructures.46 [Reproduced from ref. 46 with permission from The Royal Society of Chemistry, copyright 2025].
Table 3 Nano-structured materials with morphology and electro-chemical performance for energy storage devices (i.e. carbon materials, conducting polymer, complex structured ceramic)
Structural morphology Electrode materials Chemical structure Property TEM/SEM image Electrolyte Specific capacitance (F g−1) Ref.
Carbon-based 0D nano-sphere Fullerene (C-60) image file: d5ra05583k-u1.tif Perfect electron acceptor image file: d5ra05583k-u2.tif 6 M KOH 505.4 54
0D nano-particle Carbon black image file: d5ra05583k-u3.tif Para-crystalline carbon, act as a spacer image file: d5ra05583k-u4.tif Aqueous (NaOH/KOH) <300 15 and 55
1D nano-tube Carbon nano-tube (CNT) image file: d5ra05583k-u5.tif High aspect ratio, good mechanical property image file: d5ra05583k-u6.tif Aqueous (NaOH/KOH) 20–180 15
2D nano-sheet Graphene image file: d5ra05583k-u7.tif High surface area, good electrical conductivity image file: d5ra05583k-u8.tif 5.5 M KOH 135 56 and 57
2D nano-sheet Reduced graphene oxide image file: d5ra05583k-u9.tif Easy process ability, defect healing system image file: d5ra05583k-u10.tif 1.1 M Fe(CN)6 223.6 58
3D nano-intrinsic porous Activated carbon image file: d5ra05583k-u11.tif High packing density image file: d5ra05583k-u12.tif Aqueous (NaOH/KOH) 200–400 15 and 59
3D connected nanoparticle Carbon aerogels image file: d5ra05583k-u13.tif Bimodal pore structure image file: d5ra05583k-u14.tif Aqueous (NaOH/KOH) 40–200 15 and 60
Conducting polymer, 0D nano-particle Polyaniline (PANI) image file: d5ra05583k-u15.tif 30–200 (S cm−1) image file: d5ra05583k-u16.tif H2SO4 aqueous 408 61 and 62
0D nano sphere Polyaniline (PANI) image file: d5ra05583k-u17.tif 30–200 (S cm−1) image file: d5ra05583k-u18.tif H2SO4 aqueous 421 44 and 63
1D nanowire arrays Polyaniline (PANI) image file: d5ra05583k-u19.tif 30–200 (S cm−1) image file: d5ra05583k-u20.tif HClO4 aqueous 950 64
1D nano-tube Polyaniline (PANI) image file: d5ra05583k-u21.tif 30–200 (S cm−1) image file: d5ra05583k-u22.tif HCl aqueous 522 64 and 65
0D nano-particle PTh image file: d5ra05583k-u23.tif 10–1000 (S cm−1) image file: d5ra05583k-u24.tif Polymer electrolyte membrane 156 33
1D nanofibers PEDOT image file: d5ra05583k-u25.tif 0.4–400 (S cm−1) image file: d5ra05583k-u26.tif 6 M HCl 175 44 and 66
3D structure connect by nano-sphere Polypyrrole (PPy) image file: d5ra05583k-u27.tif 10–7500 (S cm−1) image file: d5ra05583k-u28.tif PVA–H2SO4 132 44 and 67
Complex structured ceramic, 0D nano-particle Spinel (AB2O4) CoFe2O4 image file: d5ra05583k-u29.tif Excellent chemical stability, high capacity image file: d5ra05583k-u30.tif 1 M KOH 123 52 and 68
1D nanowire NiCo2O4 image file: d5ra05583k-u31.tif Highly crystalline nano particles image file: d5ra05583k-u32.tif 6 M KOH 1283 19
2D nano-sheets NiCo2O4 image file: d5ra05583k-u33.tif Fast electron & ion transport, structural stability image file: d5ra05583k-u34.tif 3 M KOH 2010 69
3D flower like NiCo2O4 image file: d5ra05583k-u35.tif Ions diffusion- pathway image file: d5ra05583k-u36.tif 6 M KOH 658 57 and 69
3D nano-cube MnFe2O4 image file: d5ra05583k-u37.tif Higher surface area, high active sites image file: d5ra05583k-u38.tif 1 M NaCl 45 70 and 52
0D nano-particle Perovskite (ABO3), LaMnO3 image file: d5ra05583k-u39.tif Significant electrochemical activity image file: d5ra05583k-u40.tif 0.5 M Na2SO4 520 22 and 71
0D nano particle SrRuO3 image file: d5ra05583k-u41.tif Enhances electro chemical performance image file: d5ra05583k-u42.tif 1 M KOH 52.4 72
1D nano-tube LaFeO3 image file: d5ra05583k-u43.tif Large surface area, small resistance image file: d5ra05583k-u44.tif 2 M KOH 313.21 73
2D nano-sheet LaNiO3 image file: d5ra05583k-u45.tif High conductivity, rich porous-structure image file: d5ra05583k-u46.tif 6 M KOH 139.2 74
3D nano-flakes BiFeO3 image file: d5ra05583k-u47.tif High temperature stability image file: d5ra05583k-u48.tif 2 M NaOH 72 75


Table 4 Nano-structured carbon-based, CP and ceramic materials within binary and ternary composite for flexible energy storage devices and electro-chemical performance
Structural morphology Electrode materials Synthesis method Electrolyte Specific capacitance (F g−1) Capacity retention Power density (Wh kg−1) Ref.
0D binary composite PANI/carbon particle In situ polymerization H2SO4/PVA gel 272.6 95.7% after 501 cycles 93
Nanoparticle PANI/graphene 257 98% after 1000 cycles 64
1D binary composite PANI/CNT In situ electrochemical polymerization 1 M non-aqueous LiClO4 236 ∼85% after 1000 cycles 131 77
PANI/carbon nanofiber Electrochemical polymerization 1 M H2SO4 366 80% after 1000 cycles 94
PPy/CNT In situ chemical polymerization 7.5 M KOH 265 95
PANI/MWCNT 0.1 M H2SO4 560 96
PANI/MWCNT 1 M NaNO3 328 94% after 1000 cycles 97
PTh/MWCNT Electrochemical polymerization 0.5 M H2SO4 110 90% after 1000 cycles 91
PANI/SWCNT 1 M H2SO4 485 94% after 1500 cycles 8
2D binary composite PANI/graphene In situ polymerization 2 M H2SO4 480 >70% after 1000 cycles 98
Reduced GO In situ polymerization 1 M H2SO4 701 92% after 1000 cycles 99
PPy/GO In situ surface-initialed polymerization 1 M H2SO4 370 91.2% after 4000 cycles 77
PEDOT/rGO In situ polymerization 108 100
PEDOT/GO In situ polymerization 1 M H2SO4 270 101
PEDOT/rGO Polymerization 1 M H2SO4 213 90
PEDOT/GO Electrochemical deposition 0.5 M H2SO4 715 102
Nano-Cone PANI/Graphene Electro-deposition 1 M HClO4 750 81
Nano-tube PANI graphene Chemical oxidative polymerization 91.4% after 500 cycles 74.27 103
Nano-wire PANI graphene Chemical polymerization 740 87% after 1000 cycles 104
PPy graphene In situ polymerization 3 M KCl 255.7 > 93% after 1000 cycles 7.02 Wh kg−1 77
3D binary composite Nano-wire PANI/carbon cloth 1 mol L−1 H2SO4 1079 14% loss after 2100 cycles 105
Nano-wire PEDOT/carbon cloth 1 mol L−1 Na2SO4 256 30% loss after 1000 cycles 106
PEDOT/multilayer graphene Electrochemical deposition 1 M H2SO4 154 107
0D ternary composite Nanoparticle CoFe2O4/(PANI)/(rGO) In situ chemical oxidative polymerization 1 M KOH 9 270 × 10−8 Wh cm−1 52
Nanospheres NiCo2O4/Ppy/carbon textiles Chemical polymerization PVA/KOH gel 2244 58.8 Wh kg−1 at 365 W kg−1 78
1D ternary composite NiCo2O4/polypyrrole nanowires Hydrothermal 3 M NaOH 2055 104 and 108
Nano composite BaTiO3/(PPy)/MWCNT In situ oxidative polymerization 155 21.6 Wh kg−1 at 385.7 W kg−1 108
2D ternary composite Nanocomposite LaMnO3/PANI/RGO In situ polymerization 1 M HCl solution 111 50 Wh kg−1 at 2.25 kW kg−1 82
Nano-sheet SrTiO3/Ppy/modified graphene In situ oxidative polymerization 6 M KOH 466 165.69 Wh kg−1 at 5598 W kg−1 109
3D ternary composite Nano-cube MnFe2O4/(PANI)/graphene In situ chemical oxidative polymerization 1 M NaCl aqueous 338 10.25 Wh kg−1 at 3076 W kg−1 70
Mesoporous nano-sheets NiCo2O4 Ni foam Co-electro deposition 3 M KOH aqueous 1450 72


Reducing materials to the nanoscale significantly alters their physical and chemical properties, often resulting in enhanced performance for electrochemical applications. In particular, nanomaterials are expected to play a crucial role in advancing energy storage devices due to their increased electrode–electrolyte interfacial area and shortened ion/electron transport pathways, both of which improve charge storage and transfer kinetics. The hybridization of conducting polymers with carbon nanomaterials has shown promising potential by combining the redox activity of conducting polymers with the exceptional electrical conductivity and mechanical robustness of carbon-based materials, leading to superior electrochemical performance. Conducting polymers offer several advantages for supercapacitor applications, including low cost, environmental compatibility, high electrical conductivity in the doped state, broad electrochemical voltage windows, large specific capacitance, high porosity, excellent reversibility, and tunable redox properties through chemical modification.

In these systems, charge storage occurs via faradaic redox reactions throughout the bulk of the conducting polymer. Upon oxidation, cations from the electrolyte are incorporated into the polymer backbone, while during reduction, these ions are released back into the electrolyte. Unlike battery-type electrodes, this redox process does not involve structural phase transitions, thus ensuring high reversibility and cycling stability. Notable examples of intrinsically conducting polymers include polypyrrole (PPy), polyaniline (PANI), polythiophene (PTh) and its derivatives, poly(3,4-ethylenedioxythiophene) (PEDOT), and poly(p-phenylenevinylene) (PPV) and related compounds.48

However, while binary composites of polymers and carbon nanomaterials offer improved performance, their energy densities still lag behind those of batteries. To address this limitation, researchers have developed ternary composites integrating complex ceramic materials, conducting polymers, and carbon nanostructures. These systems demonstrate synergistic effects, delivering enhanced energy density without compromising power density, along with excellent cycling stability, high specific capacitance, low internal and diffusive resistance, and large electrochemically active surface areas. Such properties make them ideal candidates for flexible and wearable energy storage devices suited to modern electronics.

In the current study, emphasis is placed on ternary composites involving complex structured ceramics, conducting polymers, and carbon materials for the fabrication of flexible hybrid supercapacitors. Among the ceramic components, inverted or partially inverted spinel-structured compounds have garnered significant interest due to the presence of multi-valent cations at both tetrahedral and octahedral sites, which enhance charge storage capability. Miao et al. demonstrated a NiFe Prussian blue analogue/reduced graphene oxide composite cathode for aqueous sodium-ion hybrid supercapacitors, achieving enhanced ion transport, high capacitance, and stable cycling performance.49 Their work highlights the role of composite electrode design in advancing next-generation hybrid supercapacitors. Gupta et al. developed an Fe-based Prussian blue analogue anchored on reduced graphene oxide to suppress metal dissolution and enhance conductivity, thereby improving cycling stability and rate performance in aqueous sodium-ion supercapatteries.50 This work underscores the importance of hybrid electrode engineering for durable and high-power energy storage devices. Kankane et al. incorporated halloysite nanotubes into electrospun PVDF-HFP separators, achieving improved ionic conductivity and interfacial stability in sodium-ion batteries, highlighting the role of nanostructured polymer composites in enhancing device performance.51 Li et al. designed cellulose nanofiber–silver nanowire/tungsten trioxide hybrid films as paper-based transparent electrochromic supercapacitors, demonstrating high stability and bifunctionality, relevant for flexible and multifunctional energy storage applications.

Conducting polymers are selected for their high theoretical capacity, chemical stability, and electrocatalytic efficiency, making them indispensable components in next-generation energy storage systems.52 As every material has an individual specific mechanism to contribute to increasing capacitive property, the ternary hybrid materials may result excellent and perfect device electrode to use in practical applications where a huge energy storage system is required in a short period. Mainly, hybrid energy storage devices are run by four mechanisms, which were discussed broadly in earlier sections. But nowadays, a new complex structured ceramic material is used as conducting and capacitive materials as it possesses high dielectric property, ferroelectricity, piezo-electricity, pyro-electricity etc., which is also required pseudo-capacitive mechanism.53 But it has a limitation, that is, possessing low electrical conductivity, though it has high pseudo-capacitive property. Hence, researchers have drawn attention to combining these new materials with conducting polymer (high capacitive property, flexibility, reversible redox reaction etc.) and carbon materials (high conductivity, mechanical support, EDL capacitive property etc.) for exploring excellent and perfect device electrode materials.

Recently, nano-structure-based complex structured ceramics are commonly used as a new highly capacitive material. Several ceramic materials having complex crystal structures are used in electrical device applications that are electrically and magnetically conductive due to their internal structure phenomena. There are several types of structure, i.e., spinel, perovskite, silicates, silica, olivine, garnets, ring silicates, micas, clay minerals, pyroxene, b-aluminas, calcium aluminate, mullite, monazite, YBa2Cu3O7, Si3N4.54 Among these complex structures, ceramic, spinel and perovskite are more popular and advantageous in energy storage device applications as all of them possess ferromagnetic properties, high dielectric properties due to internal structure mechanism (Table 3). Spinel has the general formula AB2O4, although later we also write it as AO. nB2O3, where n describes the non-equi-molarity.53 A great variety of compositions can possess this complex crystal structure due to its intrinsic stacking system in the crystal pattern. They are MgAl2O4, NiFe2O4, NiCo2O4, MnFe2O4, CoFe2O4 etc., which holda spinel crystal structure. Nanocomposite materials have transformed hybrid energy storage by leveraging the synergistic integration of carbonaceous, polymeric, and ceramic components, resulting in increased conductivity, structural stability, and multifunctional electrode designs optimized for high-performance supercapacitive systems.

5. Nanocomposite materials

5.1 Zero-dimension

Zero-dimensional (0D) or dimensionless materials refer to particles with a nearly spherical morphology, possessing an aspect ratio close to 1. Examples of 0D materials include fullerenes, quantum dots, nano-onions, and nanoparticles, which exhibit roughly spherical shapes.76 A key advantage of these materials lies in their tunable pore content and size distribution, making them highly suitable as support materials in supercapacitor electrodes.

Various polyaniline (PANI)–carbon nanocomposites have been explored, including PANI/carbon spheres and PANI/carbon particles.77 For instance, Shen et al.78 studied the electrochemical performance of a Nano-PANI/hollow carbon sphere composite synthesized via an in situ polymerization method. Electrochemical testing revealed that the composite achieved a high specific capacitance of 435 F g−1 at a current density of 0.5 A g−1 and maintained 60% of its initial capacitance after 2000 cycles. In another study, Vijaya Sankar et al.52 developed a novel nanocomposite consisting of CoFe2O4 nanoparticles, reduced graphene oxide (rGO), and PANI using an in situ chemical oxidative polymerization method. The capacitance properties were optimized by tuning the component ratios and material architecture, achieving a specific capacitance of approximately 8.59 F m−1 at a scan rate of 1 mV s−1 in a 1 M KOH electrolyte.

Murugesan Rajesh and his group et al. introduce poly (3, 4-ethylenedioxythiophene) (PEDOT) by a hydrothermal polymerization process using various types of FeCl3 and resulting in good conductive, crystalline PEDOT nano-dendrites and nano-spheres. In summary, it is a promising way to synthesize carbon materials/CP/CM composites to improve the electrochemical performance of SC (Fig. 8).79


image file: d5ra05583k-f8.tif
Fig. 8 Schematic representation of the formation of various crystalline PEDOT nano-dendrites and nano-spheres by hydrothermal polymerization with SEM images of PEDOT nano-particles obtained from the oxidant (a) 1.25 MR of FeCl3 (c) 2.5 MR of FeCl3 with TEM images of PEDOT nanoparticles prepared using (b) 3.75 MR of FeCl3 and (d) 5 MR of FeCl3.79 [Reproduced from ref. 79 with permission from The Royal Society of Chemistry, copyright 2025].

5.2 One-dimension

One-dimensional (1D) nanostructures are fiber-shaped materials characterized by their high aspect ratio.80 Their unique dimensionality significantly influences their functional properties, making them attractive for energy storage applications. Typical 1D nanostructures include nanotubes, nanofibers, nanowires, nanopillars, nanoribbons, and nanobelts.81 Examples such as carbon nanotubes (CNTs), conducting polymer (CP) nanowire arrays, and carbon-based nanofibers (CM nanofibers) are prominent 1D carbon nanostructures. These materials exhibit excellent electronic transport properties and high aspect ratios, which enhance the kinetics of electrochemical reactions.76

Recent advancements have demonstrated the potential of 1D nanostructures in hybrid composites. P. Muhammed Shafi et al. synthesized a LaMnO3/RGO/PANI composite via a two-step in situ polymerization method.82 The integration of reduced graphene oxide (RGO) and PANI with LaMnO3 nanoparticles improved structural stability, electrical conductivity, and electrochemical performance. Imani and Farzi fabricated a PANI/multi-walled carbon nanotube (MWCNT) nanocomposite with a tubular morphology using a low-temperature in situ polymerization method.83 When the MWCNT content reached 10%, the composite achieved a specific capacitance of 552.11 F g−1 at 4 mA cm−2, outperforming pure PANI (411.52 F g−1). The authors highlighted the potential of this low-temperature method for large-scale synthesis of tubular PANI/MWCNT structures. Niu et al. introduced a “skeleton/skin” strategy for preparing flexible, free-standing PANI/single-wall CNT (SWCNT) composite films using in situ electrochemical polymerization.84 In this configuration, the SWCNTs formed a continuous reticulate “skeleton” while PANI served as the conductive “skin.” The composite achieved a high specific capacitance of 236 F g−1 with a 30 seconds PANI deposition time, significantly surpassing that of pure SWCNTs (23.5 F g−1). Another noteworthy example involves carbon nanofibers. Birkl et al. reported the fabrication of 3D freestanding supercapacitor electrodes composed of PANI and porous carbon nanofibers. Compared to pure carbon nanofiber electrodes, the hybrid system exhibited a superior specific capacitance of 366 F g−1 at 100 mV s−1, attributed to the pseudocapacitive properties of PANI (Fig. 9).82,85,86


image file: d5ra05583k-f9.tif
Fig. 9 Comparison between two papers where one shows schematic illustration of the formation of LaMnO3/RGO/PANI including 0D Perovskite structured LaMnO3 nano-particles (A) and schematic of the optimized ion diffusion path in PANI nanowire arrays in HClO4 aqueous solution (B) and also comparing with the HRTEM and SEM images, CV curves at different compositions and scan rates, galvano-static charge discharge curves at different compositions and cycle stability with capacitance retention value within multi-dimensional devices.82,86 [Reproduced from ref. 82 and 86 with permission from The American Chemical Society, copyright 2025].

5.3 Two-dimension

Two-dimensional (2D) nanostructures are characterized by their sheet-like morphology and high aspect ratio. Notable examples of 2D carbon-based nanomaterials include graphene, graphene oxide (GO), and reduced graphene oxide (rGO).76 Generally, materials classified as 2D possess atomic-scale thickness, while their lateral dimensions extend well beyond the nanoscale range.81

Du and colleagues synthesized polyaniline (PANI)/graphene nanosheet (GNs) composites under varying conditions and assessed their electrical conductivity.24,87 Their findings revealed that increasing the GNs content enhanced the conductivity of the composites. This improvement was attributed to strong π–π interactions between PANI and GNs, where the GNs served as a structural template, promoting more planar and ordered PANI chains. Graphene oxide, a widely studied derivative of graphene, has been integrated into many conducting polymer (CP) composites. For instance, Wang et al. developed a high-performance electrode material by doping fibrillar PANI with GO via a soft chemical synthesis route.88 The resulting nanocomposite demonstrated excellent conductivity (10 S cm−1 at 22 °C) and a significantly enhanced specific capacitance of 531 F g−1 within a potential window of 0 to 0.45 V at a current density of 0.2 A g−1. This was markedly higher than that of pristine PANI (216 F g−1), highlighting the beneficial role of GO in enhancing electrochemical performance.

Similarly, Alvi et al. explored the synthesis, characterization, and electrochemical applications of a polythiophene (PTh)/graphene nanocomposite as a supercapacitor electrode.89 Their study indicated that the composite held strong potential in supercapacitor technology. Wen et al. employed the Langmuir–Blodgett technique to fabricate GO layers, followed by thermal reduction and vapor phase polymerization (VPP) of EDOT. By adjusting the deposition time, they achieved a 40 nm thick PEDOT layer atop the graphene substrate, attaining an electrical conductivity of 377.2 S cm−1. The cyclic voltammetry (CV) curves of PEDOT/graphene composites exhibited a rectangular shape, in contrast to the distorted CV curve of standalone PEDOT, suggesting a significant enhancement due to the presence of graphene. These nanocomposites also demonstrated a specific capacitance of 213 F g−1 and retained 87% of their capacity after 2000 charge–discharge cycles (Fig. 10).90


image file: d5ra05583k-f10.tif
Fig. 10 Comparison between two studies, including 1D PTh materials where one shows schematic illustrations of the formation process of PTh/MWCNT composite in an oil-in-ionic liquid micro-emulsion (O/IL) (A) and the other shows schematic illustrations of the formation process of 2D RGO LB films/PEDOT (B) and also comparing with the cross-section SEM images, CV curves at different scan rates, galvano-static charge discharge curves at different current densities and cycle stability with capacitance retention value within multidimensional devices.90,91 [Reproduced from ref. 90 with permission from Springer-Nature, copyright 2025 and ref. 91 with permission from The Royal Society of Chemistry, copyright 2025].

5.4 Three-dimension

Two-dimensional (2D) nanostructures are defined as sheet-like materials with a high aspect ratio. These structures typically consist of only a few atomic layers in thickness, while their other two dimensions extend beyond the nanometer scale.76,81 Notable examples of 2D carbon nanostructures include graphene, graphene oxide (GO), and reduced graphene oxide (rGO), which have attracted significant interest in electrochemical energy storage applications due to their exceptional surface area, conductivity, and mechanical flexibility.76 Du et al. synthesized polyaniline/graphene nanosheet (PANI/GNs) composites under various conditions and observed that the electrical conductivity of the composites increased with higher GN content.87 This enhancement was attributed to strong π–π interactions between GNs and PANI, where GNs acted as templates, promoting more planar and ordered PANI chain arrangements. GO, as an oxidized derivative of graphene, has also been extensively studied in combination with conducting polymers. For instance, Wang et al. developed a high-performance electrode material composed of fibrillar PANI doped with GO using a soft chemical approach.98 The resulting composite demonstrated excellent conductivity (10 S cm−1 at 22 °C) and a significantly enhanced specific capacitance of 531 F g−1 at 0.2 A g−1 within a potential window of 0 to 0.45 V, outperforming pure PANI (216 F g−1). This indicates the substantial role of GO in improving the electrochemical performance of the composite.

Alvi et al. also synthesized and characterized a polythiophene/graphene nanosheet (PTh/GN) nanocomposite for supercapacitor applications, identifying it as a promising electrode material.89 Similarly, Wen et al. fabricated PEDOT/graphene nanocomposites by depositing graphene oxide layers via the Langmuir–Blodgett technique, followed by thermal reduction and vapor phase polymerization (VPP) of EDOT.90 By adjusting the deposition time, a 40 nm PEDOT layer was formed on top of the graphene. This composite exhibited a high electrical conductivity of 377.2 S cm−1. The PEDOT/graphene nanocomposite showed a rectangular CV curve (indicative of ideal capacitive behavior), in contrast to the distorted shape observed with pure PEDOT, underscoring graphene's effect. The material demonstrated a specific capacitance of 213 F g−1 and maintained 87% capacitance retention after 2000 cycles (Fig. 11).78 Ternary nanocomposites are at the forefront of material innovation in hybrid capacitors, integrating the complementary features of three separate components to provide enhanced electrochemical synergy, improved ion transport, and increased charge storage efficiency.


image file: d5ra05583k-f11.tif
Fig. 11 Comparison between two papers including 3D spinel structured materials where one shows schematic illustrations of the fabrication process of hierarchical mesoporous NiCo2O4@PPy hybrid NWAs on carbon textiles (B) and other shows 2D schematic illustrations of the formation process of graphene–PANI paper (A) and also comparing with the TEM and SEM images, CV curves at different compositions and times, Galvano-static charge discharge curves at different compositions and current densities, and cycle stability with capacitance retention value within multidimensional devices (Table 4).78,92 [Reproduced from ref. 78 with permission from Elsevier, copyright 2025 and ref. 92 with permission from The Royal Society of Chemistry, copyright 2025].

6. Ranking of energy storage devices

However, a unified generic term was lacking for these devices and researchers have generally referred to them using different nomenclatures such as ‘redox capacitors’, ‘Li-ion capacitors’,110,111 ‘Na-ion capacitors’,112 ‘hybrid electrochemical capacitors’,113 ‘battery–supercapacitor hybrids’,41 or ‘pseudo-capacitors’,114 depending on the electrode materials and device architectures. To address this inconsistency, the generic term ‘super-capattery’ (a combination of ‘supercapacitor’ and ‘battery’) was proposed to describe these hybrid electrochemical energy storage devices that exhibit performance characteristics and operating principles distinct from both traditional supercapacitors and rechargeable batteries.

The term ‘super-capattery’ was first introduced in an industrial electrochemical energy storage project initiated in 2007. Since then, its usage has gained increasing acceptance within the research community, supported by ongoing efforts to define and distinguish it based on fundamental electrochemical principles and device performance (see Fig. 12).23,115,116 Despite the establishment of this terminology, confusion persists in the literature.27,117


image file: d5ra05583k-f12.tif
Fig. 12 Schematic representation of different types of mechanisms that can merge owing to build up different types of energy storage devices via different groups of materials exhibiting different types of electrochemical energy-based properties.

6.1 Supercapacitor

With the growing demand for clean and sustainable energy, electrochemical supercapacitors have emerged as promising energy storage and power supply devices due to their high power density, excellent efficiency, and long cycle life. Their practical feasibility has been demonstrated in various applications, including hybrid power sources, backup power systems, fuel cell starting power, and burst power generation in electronic devices.1 Aqib Muzaffar et al. highlight that the concept of double hybridization—combining nano-hybrid electrodes with activated carbon capacitive electrodes—opens new avenues for supercapacitor development and enhanced performance.15 However, for materials such as conductive polymers, ceramics, and certain metal oxides that exhibit high specific capacitance, a significant challenge remains: the volume changes (swelling and shrinking) during charge–discharge cycles lead to reduced supercapacitor lifespan. Electrochemical supercapacitors are a key class of hybrid storage devices, providing high power density, rapid charge–discharge capabilities, and long cycle life; yet, difficulties such as material swelling during cycling continue to limit the full potential of polymeric and ceramic-based electrodes.

6.2 Supercapattery

The new concept that was first proposed in 2011 is combining the best properties of super-capacitor or pseudo-capacitor with pseudo-battery types of material that is under research and development, known as super-capattery (super-capacitor + battery).9,12,118 This device will benefit by using two types of mechanisms that ensure high energy from battery-type material and high power from super-capacitor type material and broaden the cell voltage and extend the cell lifetime. Fundamentally, a super-capattery device integrates both capacitive and faradaic charge storage mechanisms within a single system to optimize both energy density and power density. There are four possible configurations for assembling a super-capattery:

Capacitive faradaic system + capacitive non-faradaic system (pseudo-capacitive + electric double-layer capacitor, EDLC). Capacitive faradaic system + capacitive faradaic system (pseudo-capacitive + pseudo-capacitive). Capacitive non-faradaic system + non-capacitive faradaic system (EDLC + battery). Capacitive faradaic system + non-capacitive faradaic system (pseudo-capacitive + battery). Supercapattery devices combine the principles of supercapacitors and batteries, utilizing both high power from capacitive systems and high energy from faradaic materials, resulting in variable configurations and enhanced cell voltage, energy density, and cycling life.14,115,119

6.3 Metal-ion capacitor

Pseudo-battery type electrode materials show cyclic voltammetry, charge–discharge properties close to the rechargeable battery, as discussed in the mechanism section and pseudo-capacitor type materials (conducting polymer, RuO2, MnO2 etc.) that almost relate to super-capacitor type properties, as shown above in Fig. 12.25,120,121 A combination of both mechanisms can be made up metal ion capacitor. For comparison with super-capacitors, that means combined behavior is also presented for distinguishing between the devices. Some researchers classify the metal ion capacitor as a branch of super-capacitors, but it has a unique intercalation/de-intercalation mechanism that never shows super-capattery as this property is close to the battery. Super-capattery device deals only EDLC and various redox reaction (pseudo capacitor/pseudo-battery) mechanisms.121 By using different capacitive mechanism bearing materials, the charge–discharge profile varies significantly.9,111,118 Metal-ion capacitors combine the characteristics of metal-ion batteries and supercapacitors, employing asymmetric configurations that balance high energy and power densities, aided by rapid ion diffusion and reliable electrochemical interfaces.

6.4 Metal-ion battery

In Li-ion battery systems, lithium ions shuttle between the positive and negative electrodes during charge and discharge cycles. The primary charge storage mechanisms in Li-ion batteries are categorized into three types: intercalation, conversion, and alloying.27,122 Battery-type materials exhibit distinct cyclic voltammetry (CV) and galvanostatic charge–discharge (GCD) profiles characterized by pronounced current peaks near the inherent redox potentials in CV, indicating charge storage via reversible faradaic redox reactions. These redox processes are typically accompanied by crystal phase transitions, which manifest as voltage plateaus in the GCD curves corresponding to the coexistence of multiple phases. Unlike capacitive materials, these electrode materials predominantly store charge through bulk faradaic reactions.

The energy storage mechanisms of various electrode materials can be distinctly identified through electrochemical techniques such as cyclic voltammetry (CV) and galvanostatic charge–discharge (GCD) measurements (Fig. 13). Electric double-layer capacitors (EDLC) and pseudocapacitive materials typically exhibit nearly rectangular or quasi-rectangular CV curves, respectively. Their GCD profiles show linear or slightly nonlinear voltage changes over time at a constant current. The slight nonlinearity in the GCD curve arises from the combined contributions of double-layer capacitance and pseudocapacitance. For instance, graphene, a prototypical EDLC material, displays a rectangular CV curve and linear voltage-time dependence in GCD measurements.123


image file: d5ra05583k-f13.tif
Fig. 13 Li-ion capacitor (LIC) utilizes the best features of super capacitors with the benefits of Li-ion batteries by combining materials developed by IFE (https://www.ife.no/en/from-wood-chips-and-silicon-to-high-power/) and comparison of CV and charge–discharge profile of different types of energy storage devices.121 [Reproduced from ref. 121 with permission from The Royal Society of Chemistry, copyright 2025].

Pseudocapacitive materials, while similar in appearance to EDLCs in CV and GCD curves, primarily store energy via reversible surface redox reactions involving ion insertion/de-insertion or doping/de-doping processes at the electrode–electrolyte interface, typically without inducing bulk crystal phase changes.124 Likewise, composites combining EDLC materials with battery-type or pseudocapacitive materials demonstrate mixed electrochemical behavior, exhibiting characteristics of both EDLC and pseudocapacitive or battery-like charge storage in their CV and GCD profiles.14 Finally, the hybrid super-capattery device may fulfill our required demands in a future life by inserting different types of materials as a nanocomposite, which shows a hybrid capacitive mechanism in both electrodes that may result in excellent energy density, best cyclic stability without altering power density, and voltage windows. Metal-ion batteries provide high energy density via reversible ion intercalation in structured electrode materials, and they are constantly changing with nanostructuring technologies to improve rate capability, capacity, and cycling durability.

Hybrid capacitive mechanisms have moved beyond laboratory studies and are now being explored in diverse real-world applications. Notable examples include their integration into flexible and wearable electronics, electric vehicles, portable power systems, and grid-level energy storage. Case studies highlight the use of graphene–polymer composites in wearable supercapacitors, metal-oxide-based pseudocapacitors in electric buses, and hybrid lithium-ion capacitors for fast-charging portable devices. These demonstrations underline the applied relevance of hybrid capacitive systems by effectively bridging laboratory-scale developments with practical device applications.

6.5 Theoretical perspectives and computational insights

In the past few years, significant guidance has been provided to understand and optimize the systems for hybrid supercapacitors through the utilization of computational-based modeling systems. Specifically, to investigate the electronic structure, adsorption energies, electrode material's redox activity, and to predict charge storage mechanisms at an atomic level, density functional theory (DFT) is noteworthy to use. Additionally, these aforementioned studies can also be complemented by using molecular dynamics (MD)-based modeling to investigate the behavior of ion transportation, effects of solvation, and interfacial dynamics of electrode–electrolyte under different operating conditions.125 Furthermore, the combination of continuum and kinetic Monte Carlo models has also offered insights into the kinetics of diffusion, distribution of charge, and long-term stability. Mutually, all of these theoretical approaches reduce the gap between structure and performance, and simultaneously correlate the properties of different materials along with electrochemical experimental-based outcomes. These outcomes are also vital to guide numerous factors, which include the flexibility of a rational design, boosting of hybrid electrodes; performance, and the gradual elimination of the trial-and-error approach during synthesis.126,127 Thus, utilizing an integrated computational modeling system can augment the rapid development of next-generation technologies for energy storage.

6.6 In situ and operando spectroscopic studies

To understand electrochemical mechanisms, characterizations of in situ and operando spectroscopy are the critical factors that involve examining structural and electronic changes during actual device operation. However, to track the variations of the crystal lattice as well as the transition of phases during the process of ion intercalation, in situ X-ray diffraction (XRD) is noteworthy to use. Likewise, worthy information in terms of redox states and the environments of local bonding in metal oxides and pseudocapacitive polymers can also be obtained from operando Raman and infrared (IR)-based spectroscopic analysis.32

In addition to XRD and IR spectroscopy, X-ray photoelectron spectroscopy (XPS) analysis is also an effective method to identify transition metals' valence state variations, which are directly related to both redox chemistry and capacitance behavior [Ref]. Moreover, the visualization of morphological evolution is also very much possible using a combination of transmission electron microscopy (TEM) and electrochemical cells. This advancement is simultaneously shedding light on different associated mechanisms of degradation alongside the expansion of volume in electrode materials. The application of electrochemical impedance spectroscopy (EIS) further facilitates the study of resistance correlation, diffusion, and dynamics of charge-transfer with applied potentials. Together, a groundbreaking advancement of characterization methods provides crucial mechanistic insights, which cannot be retrieved by ex situ studies only. They are also playing a pivotal role in minimizing the gap between materials discovery and practical optimization of the devices.30

7. Future perspective and challenges

Electrochemical energy storage devices are the critical technologies that have made themselves remarkable in terms of high-power density, efficiency, along with long cycle life. In addition, they are also useful to find efficient hybrid power systems, backup supplies, fuel cell startups, and portable electronics. It is also vital to optimize electrode materials in conjunction with a high specific surface area, compatible pore architectures for the rapid transportation of ions, low internal resistance, and strong electrochemical/mechanical stability for the assurance of cyclic durability. In this case, nanostructured electrodes, which include a range of materials such as aerogels, nanotubes, and nanosheets, accompanied by composite architectures, can offer synergistic benefits. Particularly, enhanced conductivity, expanded active sites, and improved mechanical integrity can be ensured using these aforementioned composite nanostructured electrodes. Computational-based modeling is also very helpful for integrating a rational design of such materials with the combination of the electrode's structure, performance, and guiding optimization strategies.128

Numerous challenges still exist, which hinder the deployment of hybrid energy storage systems on a larger scale. Precisely, the rapid degradation of pseudocapacitive-based electrode materials is still posing a challenge because of their volumetric changes at the time of cycling. The stability of the electrolyte needs to be improved for wide potential windows, while ensuring safety and environmental compatibility are also vital to consider. However, in terms of existing challenges, the scalability and cost-effective approach to fabricating nanostructured composites also remain pressing concerns. Because, in real-life applications, it's not that easy to replicate laboratory successes industrially. Likewise, a successful integration into flexible and multifunctional devices also demands such materials, which can balance electrochemical performance along with mechanical strength.126

Overall, future research regarding electrochemical energy storage should focus on several points, such as (i) hierarchical nanostructures that synergize EDLC and pseudocapacitive behaviors; (ii) multifunctional composites with the combination of carbons, polymers, and ceramics; (iii) synthesis routes, which can confirm both eco-friendliness, and scalability; and (iv) advanced in situ/operando characterization methods as well as computational modeling for the acceleration of materials discovery. Therefore, if it's likely to address all of these aspects, it would be possible to translate hybrid capacitive mechanisms from laboratory innovation into sustainable and commercially viable energy storage technologies.95

8. Conclusion

Energy storage devices are recognized as pivotal solutions for sustainable and renewable energy applications ranging from electronics to large industrial machinery. Nanostructured electrode materials, particularly nanoporous architectures and composites, enhance ion and electron transport, specific capacitance, and device durability. This study summarizes key materials and mechanisms for hybrid energy storage, emphasizing the impact of conducting polymers, carbon composites, complex ceramics, and metal oxides/hydrides, supported by morphological and structural features. The insights this review provided offer future directions on developing high-performance energy storage devices and nanocomposite materials.

Author contributions

Salman Farsi: Investigation; writing – original draft. Mushfiqur Rahman: Investigation; writing – original draft. Thuhin K. Dey: Investigation; writing – original draft. A. J. Saleh Ahammad: Writing – review & editing. Mamun Jamal: Conceptualization (lead); supervision; writing – original draft (lead); writing – review & editing (lead).

Conflicts of interest

There are no conflicts to declare.

Data availability

No data were generated in this study.

Acknowledgements

This research was supported by the Ministry of Science & Technology of Bangladesh (Special Allocation to Science, Project ID: SRG-232400).

References

  1. G. Wang, L. Zhang and J. Zhang, Chem. Soc. Rev., 2012, 41, 797–828 RSC.
  2. Q. Zeng, Y. Wu, Q. Tang, W. Liu, J. Wu, Y. Zhang, G. Yin, H. Yang, S. Yuan, D. Tan, C. Hu and X. Wang, Nano Energy, 2020, 70, 104524 CrossRef.
  3. Y. Ma, H. Chang, M. Zhang and Y. Chen, Adv. Mater., 2015, 27, 5296–5308 CrossRef PubMed.
  4. L. Xie, Q. Zong, Q. Zhang, J. Sun, Z. Zhou, B. He, Z. Zhu, S. E and Y. Yao, J. Alloys Compd., 2019, 781, 783–789 CrossRef.
  5. F. Jukogyo KK, EP1914764A1, 2007 Search PubMed.
  6. K. Zou, P. Cai, X. Cao, G. Zou, H. Hou and X. Ji, Curr. Opin. Electrochem., 2020, 21, 31–39 CrossRef.
  7. M. Soltani and S. H. Beheshti, J Energy Storage, 2021, 34, 102019 CrossRef.
  8. S. Gupta, S. B. Carrizosa and B. Aberg, Sci. Rep., 2024, 14, 29277 CrossRef.
  9. G. Z. Chen, Curr. Opin. Electrochem., 2020, 21, 358–367 CrossRef.
  10. L. Yu and G. Z. Chen, Electrochem. Energy Rev., 2020, 3, 271–285 CrossRef.
  11. L. Yu and G. Z. Chen, Electrochem. Energy Rev., 2020, 3, 271–285 CrossRef.
  12. G. Z. Chen, Int. Mater. Rev., 2017, 62, 173–202 CrossRef.
  13. L. Zhang, X. Li, M. Yang and W. Chen, Energy Storage Mater, 2021, 41, 522–545 CrossRef.
  14. S. Balasubramaniam, A. Mohanty, S. K. Balasingam, S. J. Kim and A. Ramadoss, Nano-Micro Lett., 2020, 12, 85 CrossRef PubMed.
  15. A. Muzaffar, M. B. Ahamed, K. Deshmukh and J. Thirumalai, Renewable Sustainable Energy Rev., 2019, 101, 123–145 CrossRef.
  16. M. A. V. Devanathan and B. V. K. S. R. A. Tilak, Chem. Rev., 1965, 65, 635–684 CrossRef.
  17. M. Hasan, M. Jamal and K. M. Razeeb, Electrochim. Acta, 2012, 60, 193–200 CrossRef.
  18. S. C. Rasmussen, Chempluschem, 2020, 85, 1412–1429 CrossRef PubMed.
  19. L. Shen, H. Lv, S. Chen, P. Kopold, P. A. van Aken, X. Wu, J. Maier and Y. Yu, Adv. Mater., 2017, 29(27), 1700142 CrossRef PubMed.
  20. S. Srinivasan, Fuel Cell: from Fundamentals to Applications, Springer, Verlag, 1st edn, 2006 Search PubMed.
  21. Y. Wang, Y. Song and Y. Xia, Chem. Soc. Rev., 2016, 45, 5925–5950 RSC.
  22. M. M. Baig, M. A. Khan, I. H. Gul, S. U. Rehman, M. Shahid, S. Javaid and S. M. Baig, J. Electron. Mater., 2023, 52, 5775–5794 CrossRef.
  23. X. Peng, H. Chai, Y. Cao, Y. Wang, H. Dong, D. Jia and W. Zhou, Mater Today Energy, 2018, 7, 129–135 CrossRef.
  24. H. Pang, S. Wang, W. Shao, S. Zhao, B. Yan, X. Li, S. Li, J. Chen and W. Du, Nanoscale, 2013, 5, 5752 RSC.
  25. B. Shao, G. Hu, K. A. M. Alkebsi, G. Ye, X. Lin, W. Du, J. Hu, M. Wang, H. Liu and F. Qian, Energy Environ. Sci., 2021, 14, 2291–2301 RSC.
  26. R. E. Hester and R. M. Harrison, Energy Storage Options and Their Environmental Impact, Royal Society of Chemistry, 2018, vol. 46 Search PubMed.
  27. D. McNulty, D. N. Buckley and C. O'Dwyer, J. Power Sources, 2014, 267, 831–873 CrossRef.
  28. M. S. Islam and C. A. J. Fisher, Chem. Soc. Rev., 2014, 43, 185–204 RSC.
  29. A. Van der Ven, J. Bhattacharya and A. A. Belak, Acc. Chem. Res., 2013, 46, 1216–1225 CrossRef PubMed.
  30. L. Teo, V. R. Subramanian and D. T. Schwartz, J. Electrochem. Soc., 2021, 168, 010526 CrossRef.
  31. S. J. Panchu, K. Raju and H. C. Swart, ChemElectroChem, 2024, 11(15), e202300810 CrossRef.
  32. S. Drvarič Talian, G. Kapun, J. Moškon, R. Dominko and M. Gaberšček, Nat. Commun., 2025, 16, 2030 CrossRef PubMed.
  33. T. Manimekala, R. Sivasubramanian, G. Dharmalingam and M. Minakshi, in Handbook of Energy Materials, Springer Nature Singapore, Singapore, 2025, pp. 1–21 Search PubMed.
  34. Y.-M. Wei, K. D. Kumar, L. Zhang and J.-F. Li, Front. Chem., 2025, 13, 1636683 CrossRef PubMed.
  35. S. Mallick, S. Bag and C. Retna Raj, J. Chem. Sci., 2025, 137, 65 CrossRef.
  36. T. Ahmad, B. M. Alotaibi, A. W. Alrowaily, H. A. Alyousef, A. Dahshan, A. M. A. Henaish and K. Ahmad, J. Sol-Gel Sci. Technol., 2024, 111, 309–323 CrossRef.
  37. I. Shown, A. Ganguly, L. Chen and K. Chen, Energy Sci. Eng., 2015, 3, 2–26 CrossRef.
  38. S. Verma, B. Padha, A. Singh, S. Khajuria, A. Sharma, P. Mahajan, B. Singh and S. Arya, Fullerenes, Nanotubes Carbon Nanostruct., 2021, 29, 1045–1052 CrossRef.
  39. J.-W. Park and Y.-W. Ju, Energies, 2024, 17, 1732 CrossRef.
  40. F. Dang, Y. Cai and P. Yang, ACS Appl. Energy Mater., 2024, 7, 5832–5838 CrossRef.
  41. X. Dai, M. Zhang, J. Li and D. Yang, RSC Adv., 2020, 10, 15860–15869 RSC.
  42. X. Zhu, Y. Zeng, X. Zhao, D. Liu, W. Lei and S. Lu, EcoEnergy, 2025, 3(3), e70000 CrossRef CAS.
  43. X. Luo, S. Chen, T. Hu, Y. Chen and F. Li, SusMat, 2021, 1, 211–240 CrossRef CAS.
  44. J. Wang, J. Wang, Z. Kong, K. Lv, C. Teng and Y. Zhu, Adv. Mater., 2017, 29(45), 1703044 CrossRef PubMed.
  45. D. Moitra, C. Anand, B. K. Ghosh, M. Chandel and N. N. Ghosh, ACS Appl. Energy Mater., 2018, 1, 464–474 CrossRef CAS.
  46. R. Liu, J. Duay and S. B. Lee, Chem. Commun., 2011, 47, 1384–1404 RSC.
  47. B. E. Conway, Electrochemical Supercapacitors, Springer US, Boston, MA, 1999 Search PubMed.
  48. Z. Yin and Q. Zheng, Adv. Energy Mater., 2012, 2, 179–218 CrossRef CAS.
  49. T. Miao, J. Zhang, Y. Wang, K. Fang, Z. Wang, K. Zhan and B. Zhao, J. Colloid Interface Sci., 2023, 648, 768–777 CrossRef CAS PubMed.
  50. S. Gupta, M. K. Singh, S. Krishnan, S. Bhowmik, K. Singh and D. K. Rai, J. Mater. Chem. A, 2025, 13, 2742–2756 RSC.
  51. A. Kankane, D. K. Rai and S. Janakiraman, Solid State Ionics, 2025, 428, 116947 CrossRef CAS.
  52. K. Vijaya Sankar and R. Kalai Selvan, Electrochim. Acta, 2016, 213, 469–481 CrossRef CAS.
  53. C. B. Carter and M. G. Norton, in Ceramic Materials, Springer New York, New York, NY, 2013, pp. 103–122 Search PubMed.
  54. Z. Peng, Y. Hu, J. Wang, S. Liu, C. Li, Q. Jiang, J. Lu, X. Zeng, P. Peng and F. Li, Adv. Energy Mater., 2019, 9(11), 1802928 CrossRef.
  55. R. Gómez-Hernández, Y. Panecatl-Bernal and M. Á. Méndez-Rojas, Heliyon, 2019, 5, e02139 CrossRef PubMed.
  56. M. D. Stoller, S. Park, Y. Zhu, J. An and R. S. Ruoff, Nano Lett., 2008, 8, 3498–3502 CrossRef.
  57. M. Wang, Y. Yu, M. Cui, X. Cao, W. Liu, C. Wu, X. Liu, T. Zhang and Y. Huang, Electrochim. Acta, 2020, 329, 135181 CrossRef.
  58. J. Yang and S. Gunasekaran, Carbon N Y, 2013, 51, 36–44 CrossRef.
  59. Z. Zhao, S. Hao, P. Hao, Y. Sang, A. Manivannan, N. Wu and H. Liu, J. Mater. Chem. A, 2015, 3, 15049–15056 RSC.
  60. H. Peng, Y. Lv, G. Wei, J. Zhou, X. Gao, K. Sun, G. Ma and Z. Lei, J. Power Sources, 2019, 431, 210–219 CrossRef.
  61. L. Wang, M. Han, C. E. Shuck, X. Wang and Y. Gogotsi, Nano Energy, 2021, 88, 106308 CrossRef.
  62. M. O. Munyati, A. Mbozi, M. N. Siamwiza and M. M. Diale, Synth. Met., 2017, 233, 79–85 CrossRef.
  63. L. Ai, J. Jiang and R. Zhang, Synth. Met., 2010, 160, 762–767 CrossRef.
  64. K. Wang, H. Wu, Y. Meng and Z. Wei, Small, 2014, 10, 14–31 CrossRef PubMed.
  65. Q. Tang, J. Wu, Y. Li, J. Lin, Z. Tang and M. Huang, J. Mater. Chem., 2011, 21, 12927 RSC.
  66. M. Motshakeri, B. Angoro, A. R. J. Phillips, D. Svirskis, P. A. Kilmartin and M. Sharma, Sensors, 2025, 25, 1474 CrossRef PubMed.
  67. Y. Shi, L. Pan, B. Liu, Y. Wang, Y. Cui, Z. Bao and G. Yu, J. Mater. Chem. A, 2014, 2, 6086–6091 RSC.
  68. X. Zeng, J. Zhang, S. Zhu, X. Deng, H. Ma, J. Zhang, Q. Zhang, P. Li, D. Xue, N. J. Mellors, X. Zhang and Y. Peng, Nanoscale, 2017, 9, 7493–7500 RSC.
  69. Z. Chen, J. Wen, C. Yan, L. Rice, H. Sohn, M. Shen, M. Cai, B. Dunn and Y. Lu, Adv. Energy Mater., 2011, 1(4), 551–556 CrossRef.
  70. K. V. Sankar and R. K. Selvan, RSC Adv., 2014, 4, 17555 RSC.
  71. P. Simon, Y. Gogotsi and B. Dunn, Science, 2014, 343, 1210–1211 CrossRef PubMed.
  72. T.-S. Hyun, H.-G. Kim and I.-D. Kim, J. Power Sources, 2010, 195, 1522–1528 CrossRef.
  73. Z. Li, W. Zhang, C. Yuan and Y. Su, RSC Adv., 2017, 7, 12931–12937 RSC.
  74. C. Zhang, C. Wu, Z. Zhang, Y. Shen and W. Liu, Trans. Tianjin Univ., 2020, 26, 142–147 CrossRef.
  75. B. Sun, S. Mao, S. Zhu, G. Zhou, Y. Xia and Y. Zhao, ACS Appl. Nano Mater., 2018, 1, 1291–1299 CrossRef CAS.
  76. M. Zhi, C. Xiang, J. Li, M. Li and N. Wu, Nanoscale, 2013, 5, 72–88 RSC.
  77. Q. Meng, K. Cai, Y. Chen and L. Chen, Nano Energy, 2017, 36, 268–285 CrossRef CAS.
  78. K. Shen, F. Ran, X. Zhang, C. Liu, N. Wang, X. Niu, Y. Liu, D. Zhang, L. Kong, L. Kang and S. Chen, Synth. Met., 2015, 209, 369–376 CrossRef CAS.
  79. M. Rajesh, C. J. Raj, B. C. Kim, R. Manikandan, S.-J. Kim, S. Y. Park, K. Lee and K. H. Yu, RSC Adv., 2016, 6, 110433–110443 RSC.
  80. R. Kumar, B. Ranjan and D. Kaur, J Energy Storage, 2025, 121, 116580 CrossRef.
  81. Z. Yu, L. Tetard, L. Zhai and J. Thomas, Energy Environ. Sci., 2015, 8, 702–730 RSC.
  82. P. M. Shafi, V. Ganesh and A. C. Bose, ACS Appl. Energy Mater., 2018, 1, 2802–2812 CrossRef CAS.
  83. A. Imani and G. Farzi, J. Mater. Sci.: Mater. Electron., 2015, 26, 7438–7444 CrossRef CAS.
  84. N. Zhang, P. Luan, W. Zhou, Q. Zhang, L. Cai, X. Zhang, W. Zhou, Q. Fan, F. Yang, D. Zhao, Y. Wang and S. Xie, Nano Res., 2014, 7, 1680–1690 CrossRef CAS.
  85. C. R. Birkl, M. R. Roberts, E. McTurk, P. G. Bruce and D. A. Howey, J. Power Sources, 2017, 341, 373–386 CrossRef CAS.
  86. K. Wang, J. Huang and Z. Wei, J. Phys. Chem. C, 2010, 114, 8062–8067 CrossRef CAS.
  87. Y. DU, K. CAI and S. Z. SHEN, Funct. Mater. Lett., 2013, 06, 1340002 CrossRef.
  88. H. Wang, Q. Hao, X. Yang, L. Lu and X. Wang, Electrochem. Commun., 2009, 11, 1158–1161 CrossRef CAS.
  89. F. Alvi, M. K. Ram, P. Basnayaka, E. Stefanakos, Y. Goswami, A. Hoff and A. Kumar, ECS Trans., 2011, 35, 167–174 CrossRef CAS.
  90. J. Wen, Y. Jiang, Y. Yang and S. Li, J. Mater. Sci.: Mater. Electron., 2014, 25, 1063–1071 CrossRef CAS.
  91. H. Zhang, Z. Hu, M. Li, L. Hu and S. Jiao, J. Mater. Chem. A, 2014, 2, 17024–17030 RSC.
  92. H.-P. Cong, X.-C. Ren, P. Wang and S.-H. Yu, Energy Environ. Sci., 2013, 6, 1185 RSC.
  93. A. Khosrozadeh, M. Xing and Q. Wang, Appl. Energy, 2015, 153, 87–93 CrossRef CAS.
  94. C. Tran, R. Singhal, D. Lawrence and V. Kalra, J. Power Sources, 2015, 293, 373–379 CrossRef CAS.
  95. R. B, S. R, V. Hegde and H. K, RSC Adv., 2024, 14, 37644–37675 RSC.
  96. Y. Zhou, Z.-Y. Qin, L. Li, Y. Zhang, Y.-L. Wei, L.-F. Wang and M.-F. Zhu, Electrochim. Acta, 2010, 55, 3904–3908 CrossRef CAS.
  97. B. Dong, B.-L. He, C.-L. Xu and H.-L. Li, Mater. Sci. Eng., B, 2007, 143, 7–13 CrossRef CAS.
  98. K. Zhang, L. L. Zhang, X. S. Zhao and J. Wu, Chem. Mater., 2010, 22, 1392–1401 CrossRef CAS.
  99. H. Sun, P. She, K. Xu, Y. Shang, S. Yin and Z. Liu, Synth. Met., 2015, 209, 68–73 CrossRef CAS.
  100. G. Q. Zhang, H. Bin Wu, H. E. Hoster, M. B. Chan-Park and X. W. (David) Lou, Energy Environ. Sci., 2012, 5, 9453 RSC.
  101. D. Sun, L. Jin, Y. Chen, J. Zhang and J. Zhu, Chempluschem, 2013, 78, 227–234 CrossRef CAS.
  102. F. Jiang, Z. Yao, R. Yue, Y. Du, J. Xu, P. Yang and C. Wang, Int. J. Hydrogen Energy, 2012, 37, 14085–14093 CrossRef CAS.
  103. J. M. D'Arcy, M. F. El-Kady, P. P. Khine, L. Zhang, S. H. Lee, N. R. Davis, D. S. Liu, M. T. Yeung, S. Y. Kim, C. L. Turner, A. T. Lech, P. T. Hammond and R. B. Kaner, ACS Nano, 2014, 8, 1500–1510 CrossRef.
  104. W. Xiong, X. Hu, X. Wu, Y. Zeng, B. Wang, G. He and Z. Zhu, J. Mater. Chem. A, 2015, 3, 17209–17216 RSC.
  105. Y.-Y. Horng, Y.-C. Lu, Y.-K. Hsu, C.-C. Chen, L.-C. Chen and K.-H. Chen, J. Power Sources, 2010, 195, 4418–4422 CrossRef CAS.
  106. Y.-K. Hsu, Y.-C. Chen, Y.-G. Lin, L.-C. Chen and K.-H. Chen, J. Power Sources, 2013, 242, 718–724 CrossRef CAS.
  107. C.-Y. Chu, J.-T. Tsai and C.-L. Sun, Int. J. Hydrogen Energy, 2012, 37, 13880–13886 CrossRef CAS.
  108. M. Moniruzzaman, S. Sahoo, D. Ghosh, C. K. Das and R. Singh, J. Appl. Polym. Sci., 2013, 128, 698–705 CrossRef CAS.
  109. D. Ghosh, S. Giri, S. Sahoo and C. K. Das, Polym.-Plast. Technol. Eng., 2013, 52, 213–220 CrossRef.
  110. A. Byeon, M. Boota, M. Beidaghi, K. V. Aken, J. W. Lee and Y. Gogotsi, Electrochem. Commun., 2015, 60, 199–203 CrossRef.
  111. Z.-K. Chen, J.-W. Lang, L.-Y. Liu and L.-B. Kong, RSC Adv., 2017, 7, 19967–19975 RSC.
  112. M. Arnaiz, J. L. Gómez-Cámer, J. Ajuria, F. Bonilla, B. Acebedo, M. Jáuregui, E. Goikolea, M. Galceran and T. Rojo, Chem. Mater., 2018, 30, 8155–8163 CrossRef.
  113. J. Cherusseri, K. Sambath Kumar, N. Choudhary, N. Nagaiah, Y. Jung, T. Roy and J. Thomas, Nanotechnology, 2019, 30, 202001 CrossRef PubMed.
  114. B.-X. Li, V. Borshch, R.-L. Xiao, S. Paladugu, T. Turiv, S. V. Shiyanovskii and O. D. Lavrentovich, Nat. Commun., 2018, 9, 2912 CrossRef.
  115. L. Yu and G. Z. Chen, J. Power Sources, 2016, 326, 604–612 CrossRef.
  116. Z.-H. Huang, Y. Song, X.-X. Xu and X.-X. Liu, ACS Appl. Mater. Interfaces, 2015, 7, 25506–25513 CrossRef.
  117. V. Etacheri, R. Marom, R. Elazari, G. Salitra and D. Aurbach, Energy Environ. Sci., 2011, 4, 3243 RSC.
  118. L. Yu and G. Z. Chen, Front. Chem., 2019, 7, 272 CrossRef.
  119. N. Joseph and A. C. Bose, Electrochim. Acta, 2019, 301, 401–410 CrossRef.
  120. J. Islam, H. Shao, Md. M. R. Badal, K. M. Razeeb and M. Jamal, PLoS One, 2021, 16, e0248142 CrossRef PubMed.
  121. H. Shao, P. Narayanasamy, K. M. Razeeb, R. P. Lynch and F. M. F. Rhen, in Energy Storage Options and Their Environmental Impact, The Royal Society of Chemistry, 2018, pp. 150–183 Search PubMed.
  122. M. R. Palacín, Chem. Soc. Rev., 2009, 38, 2565 RSC.
  123. N. Choi, Z. Chen, S. A. Freunberger, X. Ji, Y. Sun, K. Amine, G. Yushin, L. F. Nazar, J. Cho and P. G. Bruce, Angew. Chem., Int. Ed., 2012, 51, 9994–10024 CrossRef PubMed.
  124. A. J. Stevenson, D. G. Gromadskyi, D. Hu, J. Chae, L. Guan, L. Yu and G. Z. Chen, in Nanocarbons for Advanced Energy Storage, Wiley, 2015, pp. 179–210 Search PubMed.
  125. W. Z. Tawfik, M. Shaban, A. Raveendran, J. K. Lee and A. M. Al-Enizi, RSC Adv., 2025, 15, 3155–3167 RSC.
  126. H. Li, Y. Li, S. Zhu, Y. Li, I. Zada and Y. Li, RSC Adv., 2023, 13, 33318–33335 RSC.
  127. A. Phukhrongthung, P. Iamprasertkun, A. Bunpheng, T. Saisopa, C. Umpuch, C. Puchongkawarin, M. Sawangphruk and S. Luanwuthi, RSC Adv., 2023, 13, 24432–24444 RSC.
  128. N. Parvin, D. Merum, M. Kang, S. W. Joo, J. H. Jung and T. K. Mandal, J. Mater. Chem. A, 2025, 13, 24320–24386 RSC.

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