DOI:
10.1039/D1MA00955A
(Review Article)
Mater. Adv., 2022,
3, 125-141
Core–shell nanostructures for better thermoelectrics
Received
14th October 2021
, Accepted 24th November 2021
First published on 25th November 2021
Abstract
Substantial attempts have been made in recent decades to enhance the thermoelectric performance and find new materials. The inherent complexity and strong correlation between the electronic and thermal parameters of the materials pose serious challenges to enhance their thermoelectric performance. Recent studies on “core–shell” nanostructures and their nanocomposites have indicated that the new strategy of creating such structurally engineered materials can help in several ways to achieve high thermoelectric performances by breaking the strongly coupled electronic and thermal parameters. Furthermore, the dependence of the Seebeck coefficient and electrical conductivity on the carrier concentrations can be altered through the core–shell structure induced energy filtering effects. This review focuses on the experimental evidence and theoretical predictions in the context of core–shell nanostructures and their composite thermoelectric materials. It also highlights the fabrication processes and concepts used to produce these novel core–shell nanostructures.
Rafiq Mulla
| Dr Rafiq Mulla received his Masters degree in Physics with specialisation in Condensed Matter Physics. He was awarded his PhD from the Karnatak University Dharwad, where he studied thermoelectric materials under the supervision of Prof. M. K. Rabinal. Subsequently, he joined Energy Safety Research Institute, Swansea University to work with Dr Charlie Dunnill as a Postdoctoral Researcher, where he is working on developing low-cost thermoelectric materials and economical material fabrication methods. |
Charles W. Dunnill
| Dr Charles W. Dunnill is a senior lecturer at Swansea University specializing in sustainable hydrogen generation technology. He was awarded his PhD from Glasgow University in Nanomaterials before taking up a postdoctoral researcher post at University College London, where he was a Ramsay Fellow. Charlie advocates and researches the use of hydrogen as the perfect universal energy carrier to store, transport, and decouple renewable energy supplies from demand for energy, as well as photocatalytic water splitting as a method for solar energy harvesting. |
1. Introduction
Thermoelectric phenomenon, which involves the conversion of thermal energy into electrical energy, is expected to play an important role in meeting the energy needs of the future.1 Conversely, it can also provide a method for heating and cooling materials.2 Therefore, thermoelectric devices can be utilized for both electricity generation and cooling/heating applications.3 In particular, thermoelectric generators harvesting electricity from waste heat offer a promising option to generate clean and alternative energy.4 There is also a growing interest in converting industrial waste heat into hydrogen fuel using water splitting units5,6 powered by thermoelectric generators6–9 as well as a growing demand for wearable and flexible power sources due to the emergence of artificial intelligence.10,11 In this context, thermoelectric generators can be promising candidates to develop self-powered wearable devices, where these generators can power such smart devices by generating electricity from human body heat.10 The efficiency (η) of thermoelectric devices for electric power generation is defined as the ratio of output electrical power (P) to the thermal power (Q) supplied to the device:12 | | (1) |
where Th is the hot-side temperature, Tc is the cold-side temperature and ΔT = Th− Tc is the temperature difference. The term zT is known as “figure of merit”, which is used as a performance indicator of thermoelectric materials: | | (2) |
where S, σ, κ, and T are the Seebeck coefficient, the electrical conductivity, the thermal conductivity, and the absolute temperature.13Eqn (1) and (2) show that the thermoelectric materials with high zT values can result in high device efficiency (η). The zT can be enhanced by improving the electronic (S and σ) and reducing thermal transport (κ = κc + κl; κc and κl are the electronic and thermal contributions to the total thermal conductivity) properties of materials, yet, the realization of a high zT is rather complicated because of the strong interactions between these transport parameters, as illustrated in Fig. 1.14
|
| Fig. 1 (a) Illustrations of the trade-off relationship between the Seebeck coefficient (S) and electrical conductivity (σ). (b) Variation in the thermal conductivities (κc and κtot) as a function of the carrier density. Reproduced with permission from ref. 14, Copyright 2015 Wiley-VCH. | |
Two classical trade-off relationships exist between the above three parameters: (i) a trade-off between S and σ in materials that can give a maximum “thermoelectric power factor” (S2σ) and (ii) a trade-off between σ and κ because the parameter σ is also responsible for increasing κ by electronic contribution to the thermal conductivity (κ = κc + κl).14 These aspects indicate that the semiconductors are quite suitable for the applications. Several bulk semiconductors with optimized zT have been developed in the past several years, however, the zT values are not high enough.2 Therefore, except in a limited number of cases, the working efficiencies of the devices have fallen short of the targets essential for them to be used largely.2
Accordingly, the interest was focused on improving the performance of materials. Hicks and Dresselhouse published a first-ever theoretical model in 1993, predicting significant enhancements in zT by two-dimensional quantum wells.2 They have shown that the Seebeck coefficient could be increased and the thermal conductivity could be suppressed, simultaneously. These predictions on thermoelectric enhancements were experimentally demonstrated by Venkatasubramanian et al. who reported the highest room-temperature zT of about 2.4 from nanoscale layers.2 The enhanced zT was the result of the enhanced Seebeck coefficient and suppressed thermal conductivity in those nanostructures. Hicks and Dresselhouse further predicted the enhancements in zT of all the three low-dimensional structures such as thin-films (2D), nanowires (1D), and also quantum dots (0D).15 In such low-dimensional structures, modifications in the band structure, energy levels, and the density of states (DOS) of electrons play a major role in enhancing zT. Since then, most of the research activities have been focused on superlattices,16–18 nanosheets,19–21 nanowires,22–24 nanoribbons,25,26 mono/bilayer materials,27–29 nanocomposites,30,31 and so on.32,33 Similarly, a strategy that could lead to an economical thermoelectric material with enhanced efficiency is to fabricate nanostructured bulk materials.13 This approach can reduce the thermal conductivity of the material by disrupting the crystal's phonon transport.13 Over the past few decades, great progress has been achieved in finding new and structural thermoelectric materials. Materials such as (Bi,Sb)2(Te,Se)3,34 Pb(Te,Se,S),35,36 SnSe,37–39 SiGe,40,41 Cu2(Se,S,Te),42–47 clathrates,48 skutterudites,49 Heusler alloys50,51 are some of the high zT candidates.12 Recent studies also show that significant enhancements in zT are achieved by reducing the thermal conductivity via the introduction of additional phonon scattering regions in bulk materials.52 All these new thermoelectric materials have the potential to improve the performance level of modern thermoelectric devices.1,53
Recently, some studies have introduced a fascinating class of materials to the thermoelectrics known as “core–shell” structures. These core–shell structures have shown promising thermoelectric improvements due to their special physical structure. This review focuses on the studies on core–shell structures and discusses recent developments and their advantages for thermoelectrics.
2. Core–shell structures
Core–shell structures are a type of biphasic materials composed of an inner core material uniformly enveloped by an outer shell of one or more layers of other materials.54,55 Two common structures of core–shell materials are the core–shell nanoparticles and core–shell nanowires/nanorods, as schematically illustrated in Fig. 2. Core–shell nanostructures are usually obtained from colloidal synthesis strategies (Fig. 3), some of the common growth schemes are (a) direct nucleation and growth of the shell layer onto pre-formed cores, (b) shell layer growth after chemical activation of the core, (c) sacrificial redox replacement of the core outer region/surface; and (d) one-pot self-controlled growth of core and shell.55 Recent developments in material synthesis techniques have made the preparation of various kinds of core–shells such as metal–metal, metal–semiconductor, and semiconductor–semiconductor combinations possible.56
|
| Fig. 2 (a) Schematic of core–shell nanoparticle and core–shell nanowire/nanorod. (b) Schematic representations of energy band diagrams and carrier localization in different types of core–shell structures. | |
|
| Fig. 3 Schematic of different mechanisms that form core–shell heterostructures. (a) Direct nucleation and growth of the shell layer onto pre-formed cores. (b) Shell layer growth after chemical activation of the core. (c) Sacrificial redox replacement of the core outer region/surface. (d) One-pot self-controlled growth of core and shell. Reproduced with permission from ref. 55, Copyright 2008 Wiley-VCH. | |
These core–shell structures possess multifunctional properties through integrating two different materials into one entity.57 Therefore, they are widely studied and used in various applications such as catalysis,58–63 electronics,64,65 biomedical applications,66–68 photoluminescence,69–72 sensors,73 piezo-electrics,74,75 magnetic applications,76–78 energy storage,79,80 solar cells,81–83 and CO2 capture.84–86
Core–shell materials offer additional electronic modifications due to band-edge alignment at the interface between the core and shell.87,88 These are classified into Type-I and Type-II as shown schematically in Fig. 2b. In Type-I, the charges are localized within the core region as the shell with an energy band-gap wrapping that of the core.87 In Type-II, the band-gap alignments are staggered, resulting in the allocation of the carriers in the core as well as the shell.87 Type-II can have other possible band-gap alignments known as Quasi-Type-II structures. This occurs when the band offsets are small in type-II structures, resulting in a delocalized charge carrier over the entire nanostructure while the other carrier is confined in either the core or the shell.87 Thus, the effective band-gaps of the core–shell nanostructures can be precisely controlled by choosing suitable core and shell materials, which results in the modifications of the electronic and optical properties of core–shell nanostructures.89,90
3. Core–shell structures for thermoelectrics
Different well-known strategies such as the design of alloys,91 complex crystal structuring,92 impurity doping,93 resonant level doping,94,95 heavy element compounds,96 nanostructured materials,97 and so on, are in use for the enhancement of thermoelectric performance. Most of these approaches mainly focus on reducing thermal conductivity and increasing the Seebeck coefficient. For illustration, alloys, heavy element compounds, complex crystals, nanostructured materials have a significant role in reducing thermal conductivity. Similarly, the Seebeck coefficient and the electrical conductivity can be tuned by impurity doping, resonant level doping, and nanostructured materials.93,94,97–99
The Seebeck coefficient can be expressed as:95,100
| | (3) |
| | (4) |
where
kB,
q,
σ,
T,
E, and
Ef are Boltzmann constant, charge of the carrier, electrical conductivity, temperature, electron energy, and the Fermi energy, respectively. The terms,
n(
E) and
μ(
E) are the energy-dependent carrier density and mobility, respectively.
100 Therefore, the Seebeck coefficient can be enhanced by two mechanisms: (i) increasing the density of states (DOS) near the Fermi level and (ii) increasing the energy dependence of
μ(
E) using energy filtering effects. Increasing DOS can be effectively achieved from resonant level doping or band engineering. Resonant levels appear through interactions between the dopants and the host. The dopants with similar electronic configurations as the host atoms are usually chosen to achieve changes in the DOS.
94 Band engineering to converge the bands is another effective approach that results in the high Seebeck coefficients due to energy filtering (or carrier filtering) effects.
100,101
Thermoelectric studies in the literature on core–shell structures indicate that these novel structurally engineered materials can be used mainly in three different ways as shown in Fig. 4 such as (i) core–shell nanostructures as building blocks, (ii) core–shell nanostructures in bulk semiconductors, and (iii) secondary phase at grain boundaries. The energy filtering effects are well observed from these core–shell structures as they introduce multiple potential barriers. These potential barriers enable selective scattering of low-energy carriers and only allow high energy carriers, as they can cross these barriers.100 A schematic illustration in Fig. 5 shows the carrier filtering effect due to band alignment at the interface between two different semiconductors (Bi2Te3 and Bi2Se3).14,102
|
| Fig. 4 Different ways of utilizing core–shell structures for thermoelectrics. | |
|
| Fig. 5 (a) Schematic band alignment at the interface of bismuth telluride (BT) and bismuth selenide (BS). Reproduced with permission from ref. 102, (Copyright 2013 Wiley-VCH). (b) Schematic energy band diagrams showing electron-blocking and hole-blocking regions. | |
Further, the electronic modifications due to band-edge alignment at the interface between the core and shell can also play an important role in minority carrier filtering (Fig. 5(b)) and help achieve higher Seebeck coefficients.103,104 When designing a thermoelectric material, either the core or the cell material can be carefully chosen to act as a minority carrier blocking region. Such structures essentially reduce the mobility of the minority charge carrier and lighten the effect of the minority carriers on the Seebeck coefficient.104 Especially in the narrow band-gap thermoelectric materials, the minority carriers’ effect is detrimental to their thermoelectric performance. For illustration, the net Seebeck coefficient (S) of a material with mixed carrier contributions is expressed as105
| | (5) |
where
Sp,
Sn,
μp,
μn,
p, and
n are the positive Seebeck coefficient, negative Seebeck coefficient, hole mobility, electron mobility, hole density, and electron density, respectively. The deterioration of net
S due to minority carriers can be avoided by introducing suitable barriers which can block minority carriers, whereas the other type carriers are less affected.
103 Therefore, by introducing heterojunctions with help of core–shell structures, suitable band-edge alignments can be created at the interface between the core and shell that can preferentially block minority carriers, as a result, a high Seebeck coefficient can be maintained.
103
In addition, the presence of interfaces in core–shell type materials can act as thermal barriers and work as scatterers of long-wavelength phonons, resulting in the reduction of thermal conductivity but increase the Seebeck coefficient.106 The presence of multiphase provides an opportunity to have a unique carrier transport behaviour that can decouple electron and phonon transport at the interfaces.53 This helps reduce thermal conductivity without much loss in the electrical conductivity of the materials.53 As the thermal conductivity of a material (κ) relies on the charge carriers (κc) as well as the lattice vibrations (κl) of the crystal,
it can be reduced by controlling either
κc or
κl or both. According to the Wiedemann−Franz law, the first term,
κc is related to electrical conductivity (
σ), Lorentz number (
L) and temperature (
T), expressed as:
53Any reduction in
κc will reduce the electrical conductivity (
σ). Instead,
κl should be reduced without affecting the electronic transport in order to see overall improvements in the thermoelectric performance,
zT. However, the lattice contribution cannot be reduced significantly without the negative effects on electronic transport, and in general, it cannot reach below the amorphous limit.
53 Here, multiphase crystal structures such as core–shell type materials can have the exception from such a constraint and possess ultralow thermal conductivity without losing other properties if materials are designed carefully with suitable phases. Also, however, the energy filtering effect has a positive impact on the increase of the Seebeck coefficient, but the reduction of effective mass after the reduced carrier concentration can be detrimental to the increase of the Seebeck coefficient. Therefore, optimization of thermoelectric performance requires a compromise between all the electronic and thermal parameters and their resulting properties to achieve overall improvements.
3.1. Core–shell nanostructures as building blocks
Nanoparticles and nanowires have been attractive materials for thermoelectrics due to their special electrical properties as compared to their bulk counterpart. Further improvements in their thermoelectric performance can be expected with special physical structures in the form of core–shell configurations. Therefore, several research studies have been focused on the fabrication of different core–shell nanostructures for thermoelectric applications.107 Use of core–shell nanoparticles/nanowires as building blocks of thermoelectric composites is an interesting strategy employed in several studies.107 In such materials, the advantages of core–shell structures can be more significant as each particle of the material can possess special electrical features due to their core–shell configurations. The bottom-up growth of nanocrystals is a convenient strategy to form core–shell nanoparticles, which also provides access to a three-dimensional composition control.107,108 In recent work, Ibáñez et al. reported a high-yield and scalable colloidal synthetic route based on the bottom-up assembly to obtain PbTe@PbS core–shell nanoparticles.107 The nanocomposites of these core–shell nanoparticles have shown up to 10 times higher electrical conductivities than the pure PbTe and PbS nanomaterials due to synergistic nanocrystal doping effects. As illustrated by Fig. 6, the PbS shell on PbTe forms a quasi-type-II heterojunction which assists the selective carrier transport by doping of electrons into the conduction level of core–PbTe.109 It also strongly localizes the holes within the PbTe core valence level and result in the enhanced n-type electrical conductivity.109 Furthermore, the lattice mismatch between PbTe and PbS phases resulted in acoustic impedance mismatch which strongly reduced thermal conductivities of the core–shell composites. As a result, PbTe@PbS core–shell nanocomposites with a thermoelectric figure of merit (zT ∼ 1.1 at 710 K) much higher than the pure PbTe and PbS nanomaterials were obtained.107 The changes in the electrical conductivity, Seebeck coefficient, thermal conductivity, and figure of merit along with the variation in the activation energy for electrical transport (Ea) as a function of the PbS concentration in (PbTe)1−x(PbS)x nanocomposites are shown in Fig. 6(c).
|
| Fig. 6 Schematic energy diagrams of the (a) PbTe core nanocrystal and (b) PbTe@PbS core–shell nanocrystal. Reproduced with permission from ref. 109, (Copyright 2020 American Chemical Society). (c) is the variations in the electrical conductivity (σ), Seebeck coefficient (S), thermal conductivity (κ*), and figure of merit (zT) (at 710 K) along with the variation in the activation energy for electrical transport (Ea) as a function of the PbS concentration in (PbTe)1−x(PbS)x nanocomposites. Reproduced with permission from ref. 107, Copyright 2013 American Chemical Society. | |
The energy filtering effects have been observed by Ou et al. in all oxide TiC1−xOx@TiOy–TiO2 (x < 1, 1 < y < 2) core–shell nanostructures.110 These core–shell heterostructures were synthesized with an anodization process assisted by the sol–gel chemical route as illustrated in Fig. 7. The shell layer made up of TiOy–TiO2 creates a double-barrier for the charge carriers, which scatters most of the low-energy carriers leading to enhancement of the Seebeck coefficient. This carrier filter mechanism is illustrated in Fig. 7(b–e); in the TiC1−xOx@TiOy–TiO2 heterostructures with the graded potential barrier, the first interfacial barrier between the TiC1−xOx and TiOy selectively scatters low-energy carriers. Further, the second interface TiO2 barrier between the core (TiC1−xOx) and shell (TiOy–TiO2) scatters partial high-energy carriers. Consequently, carriers with higher energy can be able to pass through the double-barrier. In addition, the channel between the TiO2 particles in these heterostructures can allow partial high-energy carriers to pass through, which helps maintain good electrical transport. Overall, these “all oxide” core–shell heterostructures have shown high Seebeck coefficients while maintaining a relatively good electrical conductivity in addition to the reduced thermal conductivity via possible double-barrier filtering effects due to engineered interfacial barriers as a result, a high zT up to 0.84 at 973 K has been observed.110
|
| Fig. 7 (a) Schematic illustration of the formation of the TiC1−xOx@TiOy–TiO2 heterostructures via anodization process. The mechanism of carrier transport through the double-barrier: (b) carrier paths where the first interfacial TiOy barrier selectively scatters low-energy carriers and the TiO2 barrier further scatters partial high-energy carriers, (c) transport schemes of the carriers in the heterostructures and at the interface, (d) and (e) show the band diagrams of the all-oxide TiC1−xOx@TiOy and TiC1−xOx@TiOy–TiO2 heterostructured interfaces. Reproduced with permission from ref. 110, Copyright 2015 Nature Publishing Group. | |
Similarly, enhanced Seebeck coefficient with reduced thermal conductivity was observed in Au@Cu2Se core–shell nanoparticles.111 Jin et al. synthesized these nanoparticles with different shell thicknesses through the hydrothermal route by controlling the precursor concentration.111 With the improvements in the Seebeck coefficient by energy filtering in the core–shell interface and reduced lattice thermal conductivity of core–shell due to coherent phonon scattering, a high zT value of 0.61 was obtained at 723 K in Au@Cu2Se core–shell nanoparticles with a shell thickness of 21 nm. The zT achieved from the core–shell structures is higher than that of the composite mixture of Au and Cu2Se particles or pure Cu2Se (Fig. 8). In a recent study, Sharma et al. reported an ultralow thermal conductivity in Cu@Cu2O core–shell nanocomposites synthesized using a facile solution-phase method as illustrated in Fig. 9.112 These core–shell samples have shown an ultralow thermal conductivity of about 10−3 of the bulk copper with a large Seebeck coefficient of ∼373 μV K−1, resulting in a zT of 0.16 at 320 K, showing their potential for low-cost thermoelectrics. In another interesting work by Ibáñez et al., tunable p-type transport behaviour has been observed in Pb chalcogenides using alkali metal chalcogenides as capping ligands.113 It is interesting to note that in these works, the surface functionalization with K+ and Na+ ions has resulted in core–shell type nanostructures which assisted in introducing controlled amounts of dopants.
|
| Fig. 8 (a) Transmission electron microscopes (TEM) images of Au@Cu2Se nanoparticles and the elemental mapping pictures of (b) Au, (c) Cu, (d) Se, (e) shows the high resolution-TEM images of a Au@Cu2Se nanoparticles (inset is the corresponding Fourier transform), and (f) shows the figure of merit (zT) of Au@Cu2Se core–shell nanocomposite samples of different shell thicknesses (21, 17, and 13 nm) along with pure Cu2Se, Au/Cu2Se mixture sample. Reproduced with permission from ref. 111, Copyright 2020 American Chemical Society. | |
|
| Fig. 9 Schematic of the synthesis process of Cu@Cu2O core–shell nanoparticles using copper acetate hydrate, oleylamine (OA), and trioctylphosphine (TOP). Reproduced with permission from ref. 112, Copyright 2020 American Chemical Society. | |
Core–shell nanowires have also attracted tremendous interest due to their remarkable electronic and thermal properties.114 Several experimental and theoretical studies have shown the possibilities of producing promising thermoelectric materials in the form of core–shell nanowires.115–118 Successful examples include Ge@Si,114,115,119,120 Si@Ge,121,122 GaAs@AlAs,117 GaAs@AlGaAs,123 Bi2S3@Bi,116 Bi@Te,124 Te@Bi,125 Bi@TiO2,126 multiwalled carbon nanotubes (MWCNT)@Sb2Te3,127 Bi2Te3@MWCNT,128 and so on. These special heterostructures show superior electronic properties and a significant reduction in thermal conductivity compared to single element nanowires. The radial heterostructure core–shell nanowires show remarkable carrier mobility due to the band offsets.119 For example, high hole mobility of 730 cm2 V−1 s−1 was observed in Ge@Si nanowire heterostructures based field-effect transistors (NWFET), which is ten times high compared to the Si p-MOSFET (metal–oxide–semiconductor field-effect transistors).129 It is also more than twice that of Ge or SiGe PMOS (p-channel metal–oxide–semiconductor) devices.129
Hu et al. reported nonequilibrium molecular dynamics simulations on the effect of Ge coatings on the thermal properties of Si nanowires.122 Their results show that a simple Ge shell coating of thickness 1 or 2 unit cells on single crystalline Si nanowires can lead to a dramatic decrease (by 75%) in thermal conductivity compared to uncoated Si nanowires. They found that such a dramatic fall in thermal conductivity in core–shell nanowire comes from the reduction and localization of long-wavelength phonon modes at the core–shell interface and also from high-frequency non-propagating diffusive modes. To support this, they systematically studied the changes in the vibrational density of states (VDOS) of surface Si atoms on the nanowire after the addition of the Ge shell coating. The results of VDOS shown in Fig. 10(a) indicate that there are no notable changes in the VDOS for Si atoms in the centre of the nanowires core. In contrast, significant depression of the low-frequency part is (below 6 THz) and also at the high-frequency part (between 16–17 THz) can be observed for core–shell nanowires as compared to pure Si nanowires (Fig. 10(b)). Such depressions can originate from a lattice mismatch and atomic mass differences.122 This also appears to be true for Si coated Ge or Ge@Si core–shell nanowires, which is evident from Wingert et al.'s work,118 who studied thermal properties of Ge@Si. Their results show the reduction in thermal conductivity with observed values in the range of 1.1–2.6 W m−1 K−1 at around 108–388 K, which is lower than Ge nanowires and also even lower than that of SiGe alloy nanowires.118 These studies and the observed improvements with such structures indicate that the core–shell structures can be more promising than alloys or composite materials.
|
| Fig. 10 (a) Vibrational density of states (VDOS) of Si atoms at the center of the Si core. (b) VDOS of Si atoms located at the Si–Ge interface (uc: unit cell). (c) Thermal conductivity of the Si@Ge nanowire as a function of the number of Ge shell layers and for different cross-sectional areas of the Si core. Reproduced with permission from ref. 122, Copyright 2011 American Chemical Society. | |
Similar thermal conductivity reduction has also been reported for Bi@Te nanowires. In addition, a recent study by Kang et al. suggests that with rough interfaces between the core and shell materials, a further reduction can be achieved.124 A comparison of thermal conductivities between smooth and rough interface based Bi@Te core–shell nanowires is shown in Fig. 11. Bi2Te3 is an excellent and commercially used thermoelectric material. However, the expensive, highly scarce, and toxic nature of tellurium is a matter of concern for extending the thermoelectric generator applications.130,131 Replacing tellurium with sulfur, an abundant and cheap element can be a promising strategy. This idea encouraged many researchers to find sulfur and selenide based metal chalcogenides for thermoelectric applications.132,133 For illustration, Bi2S3 is an n-type semiconductor with a very high Seebeck coefficient and low thermal conductivity can be a replacement for Bi2Te3, but it suffers from its poor electrical conductivity.134 A recent work on Bi2S3@Bi core–shell nanowires demonstrated that the electrical conductivity of the Bi2S3 can be enhanced significantly with Bi shell coating on Bi2S3 nanowires.116 These Bi2S3@Bi core–shell nanowires were obtained from treating Bi2S3 nanowires in a hydrazine solution by a hydrothermal method. Three orders of magnitude greater electrical conductivity was observed from Bi2S3@Bi core–shell nanowires sample than that of a pristine Bi2S3 sample, which resulted in a good zT of 0.36 at 623 K.
|
| Fig. 11 The thermal conductivity data of pure Bi nanowires, the rough interface Bi@Te core–shell nanowires with diameter 170, 230, 329, and 462 nm, and the smooth interface Bi@Te core–shell nanowires with diameter 163, 201, and 304 nm. The graph also shows the thermal conductivity of SiO2 nanowire (at 300 K) to confirm the reliability of the measurement. Reproduced with permission from ref. 124, Copyright 2011 Wiley-VCH. | |
Due to the low-cost, lightweight, and interesting electrical properties of carbon nanotubes (CNTs), they have been widely studied for energy-related applications.135–138 CNTs are special one-dimensional materials with high carrier mobilities, high thermal conduction, high strength, and so on.139,140 They have also shown promising thermoelectric properties when they are modified or treated with organic molecules/polymer compounds, impurity atoms, etc.141–145 Similarly, the effects of core–shell structures on thermoelectric performance of CNTs have also been reported.139,146 For instance, Chiang et al. reported a scalable two-step reaction route to fabricate C@BCN core–shell nanotubes in bulk quantities.146 The CNTs were dissolved in an SDS (sodium dodecyl sulfate) aqueous solution to form dispersion and then B2O3 powder was added to the CNT/SDS dispersion. The final reaction was carried out at high temperatures to obtain C@BCN core–shell nanotubes, as illustrated in Fig. 12. The thin-films based on these C@BCN core–shell nanotubes have shown an improved Seebeck coefficient, which led to a 6.4-fold increase in the power factor. Similar thermoelectric enhancements were also observed from in situ polymerisation of PEDOT on graphene platelets, coral-like PEDOT/single-walled carbon nanotubes (SWCNT), polypyrrole (PPy)/graphene core–shell type thermoelectric compounds.147–152
|
| Fig. 12 Schematic process of two-step reaction route to prepare C@BCN core–shell nanotubes. Reproduced with permission from ref. 146, Copyright 2016 Elsevier B.V. | |
3.2. Core–shell nanostructures in bulk semiconductors
Thermoelectric properties of the bulk semiconductors have been routinely modified with traditional impurity doping processes, where the ionized impurities are used to modify the electronic properties of the host bulk.153–155 With the advancement in material fabrication, doping bulk materials with nano-inclusions has been becoming one of the most effective strategies to improve thermoelectric properties.156–159 Researchers have further found promising results when the bulk semiconductors are doped with core–shell nanoparticles.52 The use of core–shell nanoparticles embedded in bulk semiconductors can lead to a very high thermoelectric power factor. Particularly, when embedded core–shell nanoparticles have resonant levels falling within the energy band of the host bulk semiconductor, they can significantly enhance the power factor over the bulk.52 This study also predicted a more than 80% enhancement in the thermoelectric power factor in PbTe at low temperatures.52
An experimental study that demonstrates the effect of embedded core–shell particles inside the bulk is reported by Li et al.160 In this work, the added Zn4Sb3 into SnTe converted into Sb@ZnTe core–shell microstructures in the matrix of SnTe due to sequential in situ reactions between the Zn4Sb3 additive and SnTe matrix, as schematically illustrated in Fig. 13.160 The resulting compound exhibited an ultralow lattice thermal conductivity of 0.48 W m−1 K−1. In addition, the electrical properties were also improved with reaching a maximum zT of 1.32 at 873 K, which was about 220% more than the pristine SnTe. In a similar approach, Ma et al. observed the formation of SnO2 layers around the BiCuSeO nanoinclusions doped into SnTe during a high temperature solid state reaction, which resulted in the SnTe compound with BiCuSeO@SnO2 core–shell nanoinclusions.100 They observed a high zT of 1.21 at 835 K for a 5% BiCuSeO doped sample, which was 190% improvement over SnTe. Also, Yaprintsev et al. found enhanced thermoelectric efficiency, where zT of a bulk Bi2Te3 compound was improved from zT = 0.3 to zT = 0.67 (at 400 K) by introducing Ni@NiTe2 core–shell inclusions into Bi2Te3 matrix.161 Similarly, Cai et al. found improved thermoelectric performance from PbSe after the incorporation of core–shell nanoscale CdSe precipitates in PbSe.162 As shown by Fig. 14, the CdSe nano-precipitates in the PbSe exhibit a zinc blende crystal structure covered with a thin wurtzite layer at the matrix interface, forming an embedded core–shell structure in PbSe. These tetrahedral shaped nano-precipitates with significant local strains cause a reduction in lattice thermal conductivity of the compound and help achieve better thermoelectric performance.
|
| Fig. 13 The schematic illustration of the reaction process that forms embedded core–shell structures. Reproduced with permission from ref. 160, Copyright 2020 Wiley-VCH. | |
|
| Fig. 14 Scanning and transmission electron microscopy (S/TEM) images of PbSe-CdSe sample. (a) High-angle annular dark field image showing the embedded triangular nano-precipitates in the matrix. (b) Energy-dispersive X-ray spectroscopy (EDS) mapping. (c) TEM image showing a core–shell precipitate in the matrix. (d) Selected area diffraction (SAED) pattern taken along the [110] zone axis, which reveals the interface is the wurtzite CdSe phase. (e) High-resolution STEM image with a HAADF mode image showing the core–shell sections of CdSe with PbSe matrix. (f–i) Show the atomic stacking of the matrix, interface between the matrix and shell, the shell, and core of the precipitate. Reproduced with permission from ref. 162, Copyright 2020 Royal Society of Chemistry. | |
In recent work, Xiang et al. reported a facile route to construct locally nanostructured PbTe in a micro-sized PbTe frame.163 They mixed PbTe@C:Ag nanoparticles and PbTe nanocubes through spark plasma sintering (SPS) producing PbTe/PbTe@C:Ag type structure as shown in Fig. 15. Here, the carbon shell on PbTe acts as a barrier that prevents the growth of the grains and helps to form locally nanostructured PbTe regions with a lot of grain boundaries and interfaces. In addition, Ag atoms may work as dynamic dopants and can enhance the high-frequency phonon scattering and suppress the bipolar effect. The resulting compound has shown a low lattice thermal conductivity of 0.39 W m−1 K−1 and a high power factor of 20.4 μW cm−1 K−2 with a high zT of 1.65 at 723 K.
|
| Fig. 15 Schematic illustration showing the formation of the locally nanostructured PbTe/PbTe@C:Ag. The polydopamine (PDA) derived thin carbon shell prevents the grain growth. The transport of electrons and phonons through the hierarchical structures of the compound is also illustrated. Reproduced with permission from ref. 163, Copyright 2019 Royal Society of Chemistry. | |
Similarly, by introducing PbTe@C core–shell nanostructures into Sn1−ySbyTe, Zhang et al. observed enhanced thermoelectric properties.164 These unique hierarchical structures possess an ultralow lattice thermal conductivity of ∼0.48 W m−1 K−1 almost approaching amorphous limits (∼0.40 W m−1 K−1). These compounds have shown a maximum figure of merit (zT) of 1.07 at 873 K, which is approximately ∼155% higher than that of pure SnTe.164 They also found that the PbTe@C core–shell structures exhibit great thermal stability upon repeated measurements, indicating promising for practical applications. Zhang et al. compared the effects of adding Bi2S3 and Bi2S3@Bi core–shell nanorods into the Cu1.8S bulk.165 They found that the enhancement in zT achieved from incorporating Bi2S3@Bi core–shell particles was better than adding Bi2S3. A maximum zT of 0.77 (which is 2.4 times higher than that of the pure Cu1.8S) was observed (at 723 K) from 3 wt% Bi2S3@Bi core–shell particles introduced sample while it was 0.62 for 3 wt% Bi2S3 added sample. Similarly, an enhanced zT of 1.2 (at 450 K) was obtained from a composite constructed from Bi2Te3 nanoparticles and Bi2S3@Bi nanowires.166 Thermoelectric enhancements in these composites are mainly attributed to the presence of a hierarchical network-like structure formations due to core–shell configurations.
3.3. Secondary phase at grain boundaries
Grain boundary engineering has been an important and promising approach in thermoelectrics.167,168 It has significant effects on the reduction of thermal conductivity in bulk nanostructured thermoelectric materials. Interestingly, a secondary phase formed at the grain boundaries of the host matrix can act like core–shell like structures and enhance the thermoelectric performance of the resulting materials. Several studies have found such special structures are beneficial and the electrical and thermal properties of the host materials can be easily modified in order to make them suitable for thermoelectric applications. Most of the reported works on this type of core–shell structure are based on graphene/inorganic hybrid compounds.42,168–172 The layer-like structure of graphene effectively coats on the particles/grains of the inorganic host material and forms carbon encapsulated grains. Due to their special electrical, optical, and thermal properties, graphene added composite materials have been extensively studied for different energy conversion and sensing applications.173–182 A simple schematic illustration on the formation of graphene covered grains in the bulk is shown in Fig. 16.183 The illustrated process involves the mixing of graphene oxide layers with inorganic thermoelectric matrix (TE matrix) and then in situ reduction of the resulting material to obtain graphene or reduced graphene oxide (RGO) encapsulated inorganic grains/particles. Several composites with such structures were successfully developed by Zong et al. with improved thermoelectric performances.168,169 As the addition of graphene into the bulk introduces enormous interfaces, the interfacial phonon scattering will be enhanced and therefore the lattice thermal conductivity of the compound is expected to decrease. For example, depression in thermal conductivity has been observed in the skutterudite compounds with graphene-modified grain-boundary complexion.168 Encapsulating even micron-sized skutterudite (n-type YbyCo4Sb12) grains with graphene resulted in a significantly reduced thermal conductivity with a high zT of 1.5 (at 850 K), and similarly, a zT of 1.06 (at 700 K) was achieved in p-type CeyFe3CoSb12.168
|
| Fig. 16 (a) Schematic illustration of the synthesis of a bulk composite containing graphene (RGO) layer encapsulated grains (Reproduced with permission from ref. 183, Copyright 2020 American Chemical Society). (b and c) HRTEM micrographs of the STO–0.7 wt% RGO composite. (d) Schematic of double Schottky barrier of the STO–RGO composites. Reproduced with permission from ref. 171, Copyright 2019 Nature Publishing Group. | |
In many polycrystalline compounds, their thermoelectric performance is greatly restricted due to the resistive grain boundaries, which are also known as the double Schottky barriers (DSB).184 It is supposed that the electrons trap at the grain boundaries and do not involve in the electrical conduction, and also act as scattering centres.171 Therefore, breaking or reducing the DSB effect is important to make such compounds useful for thermoelectric applications. A number of studies have found that it can be done via grain boundary engineering.171,184,185 In an interesting work by Rahman et al., they found that the incorporation of reduced graphene oxide into strontium titanium oxide (STO) weakens the DSB (Fig. 16(d)).171 This has led to a simultaneous increase in the carrier concentration and carrier mobility of the STO.
Chen et al. reported a scalable wet chemical method to fabricate Cu2−xS particles encapsulated in a thin carbon shell that forms Cu2−xS@C core–shell composites.42 The electrical conductivity of the Cu2−xS@C core–shell composite has seen a 50% increase compared to that of the pure uncoated Cu2−xS compound. The resulting core–shell composite possessed an ultra-low lattice thermal conductivity of 0.22 W m−1 K−1 and a maximum zT of 1.04 at 773 K. These improvements are attributed to an increase in the carrier concentration and enhanced phonon scattering at the interfaces formed due to graphene layers. Similarly, Tang et al. fabricated graphene encapsulated on Cu2−xS grains with mechanical alloying (MA) and spark plasma sintering (SPS) processes.186 Here also, a high power factor of 1197 μW m−1 K−2 and a significant enhancement in zT were observed with the highest zT of 1.56 at 873 K. Furthermore, generally, copper sulfides show Cu+ superionic behaviour at higher temperatures.187,188 Here, the presence of the 3D interface network of graphene layers restricts the superionic behaviour of Cu+ ions, which improved the thermal stability of the compound.
Modification of grain boundaries to achieve energy filtering effects has also been carried out with other compounds. Fu et al. modified the grains of Yb filled skutterudites with Ni to obtain “core–shell” structure.189 Such core–shell structure was obtained due to the thermal diffusion of well-dispersed Ni nanoparticles in the skutterudite (Yb0.2Co4Sb12) powder compound through a hot pressing process. The resulting compound was composed of the skutterudite core grains surrounded by Ni-rich skutterudite nanograin layers, as shown in Fig. 17. The electrical conductivity of the compound was greatly enhanced due to the presence of Ni-rich grains, which was responsible for the increased carrier concentration as well as carrier mobility. The thermoelectric power factor was found to increase after the incorporation of Ni nanoparticles along with the reduction in lattice thermal conductivity due to extra phonon scattering from core–shell structures. As a result, the Ni added compounds have shown a maximum zT of 1.07 at 723 K.
|
| Fig. 17 (a) Schematic of the Ni-rich shells formation at the grain boundaries. The thermal decomposition of nickel acetate formed Ni nanoparticles during the process. The large blue polygons represent the grains of the Yb0.2Co4Sb12. SEM images of the pure Yb0.2Co4Sb12 (b) and (c and d) are the Ni doped samples with 0.2 wt% and 0.5 wt%, respectively. (e) EDS spectrum of spots 1 and 2 marked in (d). Reproduced with permission from ref. 189, Copyright 2015 Royal Society of Chemistry. | |
Kim et al. coated extremely thin ZnO layers on the Bi0.4Sb1.6Te3 (BST) powders via an atomic layer deposition (ALD) technique.190 Compounds with numerous heterogeneous interfaces were created by this strategy with the formation of BST@ZnO core–shell structures. The results of this study demonstrated that the incorporation of ZnO thin layers into the BST matrix can block phonons and also help tune carrier density from impurity doping at the grain boundaries. An optimised thickness of ZnO coating resulted in a high thermoelectric zT of 1.50 (at 329–360 K). Such a high zT at around room temperature in addition to the simplicity of the fabrication process (illustrated in Fig. 18) indicate that the approach can be very useful to make mass production of core–shell type composites. In a similar approach, Hwang et al. observed thermal conductivity reduction in SnTe/CdTe nanocomposites composed of CdTe coated layers on the surface of SnTe grains.191 They found that the acoustic impedance mismatch between the coated CdTe layers and the SnTe grains resulting in a low thermal conductivity of 1.16 W m−1 K−1 and as a result, a high zT of 1.90 was observed at 929 K. Similarly, composite materials with well distributed CNTs at the molecular level can also modify grain boundaries of the host matrix. For instance, Nunna et al. observed an in situ growth of Cu2Se on the surface of CNTs during the fabrication of Cu2Se/CNT hybrid composites.139 The resulting composites have shown a record-high zT of 2.4 at 1000 K. The enhanced thermoelectric figure of merits (zT values) discussed in this review are summarized in Table 1. These enhancements have been achieved either directly from intentionally formed core–shell structures or from inadvertently formed core–shell structures during the fabrication, both of which have induced multiple barriers that improved the filtering effects alongside reduced thermal conductivity and resulted in materials with enhanced thermoelectric performance.
|
| Fig. 18 (a) Schematic structure of BST@ZnO composite composed of ZnO coated BST (Bi0.4Sb1.6Te3) grains. (b) Schematic fabrication process for BST@ZnO core–shell structures. Reproduced with permission from ref. 190, Copyright 2019 American Chemical Society. | |
Table 1 Details of enhanced thermoelectric figure of merits (zT values) discussed in this review
Material |
zT observed |
zT enhancement (approx.) |
Ref. |
PbTe@PbS core–shell nanocomposites |
1.1 at 710 K |
6 times of the PbS or PbTe |
Ibáñez et al.107 |
TiC1−xOx@TiOy–TiO2 core–shell nanocomposites |
0.84 at 973 K |
— |
Ou et al.110 |
Au@Cu2Se core–shell nanocomposites |
0.61 at 723 K |
2 times of the Cu2Se |
Jin et al.111 |
Cu@Cu2O core–shell nanocomposites |
0.16 at 320 K |
— |
Sharma et al.112 |
Bi2S3@Bi core–shell nanowires composites |
0.36 at 623 K |
2 times of the Bi2S3 |
Ge et al.116 |
Sb@ZnTe core–shell structures in SnTe |
1.32 at 873 K |
3 times of the SnTe |
Li et al.160 |
BiCuSeO@SnO2 core–shell nanoinclusions in SnTe |
1.21 at 835 K |
3 times of the SnTe |
Ma et al.100 |
Ni@NiTe2 core–shell inclusions in Bi2Te3 matrix |
0.67 at 400 K |
2 times of the Bi2Te3 |
Yaprintsev et al.161 |
PbTe/PbTe@C:Ag composites |
1.65 at 723 K |
8 times of the PbTe |
Xiang et al.163 |
PbTe@C core–shell nanostructures in Sn1−ySbyTe |
1.07 at 873 K |
2.5 times the SnTe |
Zhang et al.164 |
Bi2S3@Bi core–shell nanorods in the Cu1.8S |
0.77 at 723 K |
2.5 times of the Cu1.8S |
Zhang et al.165 |
Composite of Bi2Te3 nanoparticles and Bi2S3@Bi nanowire |
1.2 at 450 K |
— |
Zhang et al.166 |
Graphene encapsulated YbyCo4Sb12 |
1.5 at 850 K |
— |
Zong et al.168 |
Graphene encapsulated p-type CeyFe3CoSb12 |
1.06 at 700 K |
— |
Zong et al.168 |
Carbon encapsulated Cu2−xS composites |
1.04 at 773 K |
1.2 times of the Cu2−xS |
Chen et al.42 |
Reduced graphene oxide on strontium titanium oxide (STO) grains |
0.05 at 700 K |
2.5 times of the STO |
Rahman et al.171 |
Graphene encapsulated Cu2−xS composites |
1.56 at 873 K |
— |
Tang et al.186 |
Composites of Yb filled skutterudite (Yb0.2Co4Sb12)@Ni-rich skutterudite |
1.07 at 723 K |
2 times of the Yb0.2Co4Sb12 |
Fu et al.189 |
ZnO coated Bi0.4Sb1.6Te3 grains |
1.50 at 360 K |
1.5 times of the Bi0.4Sb1.6Te3 |
Kim et al.190 |
CdTe coated SnTe grains |
1.90 at 929 K |
— |
Hwang et al.191 |
Composite of Cu2Se coated CNTs |
2.40 at 1000 K |
— |
Nunna et al.139 |
4. Conclusion and prospects
The energy filtering effect observed from core–shell structures is a recent promising strategy to enhance materials’ thermoelectric properties.192 It is evident from the research works discussed in this review, where many theoretical predictions and experimental works have proved that core–shell nanostructures can lead to materials with remarkable thermoelectric properties.
It is worth noting that the overall enhancement of thermoelectric performance requires optimization of several parameters which are strongly interrelated, such as the number of carriers, carrier mobility, phonons, and their coupling effects.12,193 In addition, based on thermoelectric results reported in the literature, in many cases it is true that the energy filtering effect is not a sole factor to improve materials performance.194 Several other factors such as mechanisms of electron and phonon transport in different conditions, crystal structures, chemical compositions, grain orientations, nano/microstructures, etc. also play their roles.194 Also, it is important to note that the reduction of effective mass after the reduced carrier concentration due to energy filtering effects can be detrimental to the increase of the Seebeck coefficient. Therefore, overall improvements in the thermoelectric performance requires a compromise between all the electrical and thermal parameters. Thermal stability of the core–shell materials is also an important and essential requirement when these are to be used for practical applications. The core–shell structures should be thermally stable with respect to their phase or physical structure as well as chemical composition in order to implement them for real applications. Prior knowledge and understanding of the band structures of the materials chosen to fabricate core–shell nanostructures and the resulting band bending/band offsets are essential to decide their suitability and optimize the thermoelectric performance. Overall, the energy filtering effects can provide new opportunities to modify the electron and phonon transport through core–shell structural engineering.
Author contributions
Rafiq Mulla: writing – original draft, conceptualization, data collection, formal analysis. Charles W. Dunnill: supervision, resources, funding acquisition.
Conflicts of interest
There are no conflicts to declare.
Acknowledgements
Authors are thankful to the Welsh Government (EU European Regional Development Fund) for funding the RICE (Reducing Industrial Carbon Emission) project (Grant Number: 81435).
References
- M. S. Dresselhaus, G. Chen, M. Y. Tang, R. G. Yang, H. Lee, D. Z. Wang, Z. F. Ren, J. P. Fleurial and P. Gogna, Adv. Mater., 2007, 19, 1043–1053 CrossRef CAS.
- L. E. Bell, Science, 2008, 321, 1457–1461 CrossRef CAS.
- W. Wu, G.-K. Ren, X. Chen, Y. Liu, Z. Zhou, J. Song, Y. Shi, J.-M. Jiang and Y.-H. Lin, J. Mater. Chem. A, 2021, 9, 3209–3230 RSC.
- L. Yang, Z.-G. Chen, M. S. Dargusch and J. Zou, Adv. Energy Mater., 2018, 8, 1701797 CrossRef.
-
R. Phillips, W. J. F. Gannon and C. W. Dunnill, Alkaline Electrolysers, in, Electrochemical Methods for Hydrogen Production, Royal Society of Chemistry, 2019 Search PubMed.
- R. Phillips and C. W. Dunnill, RSC Adv., 2016, 6, 100643–100651 RSC.
- R. Mulla and C. W. Dunnill, ChemSusChem, 2019, 12, 3882–3895 CrossRef CAS PubMed.
- X. Zhang, W. Gao, X. Su, F. Wang, B. Liu, J.-J. Wang, H. Liu and Y. Sang, Nano Energy, 2018, 48, 481–488 CrossRef CAS.
- S.-M. Shin, J.-Y. Jung, M.-J. Park, J.-W. Song and J.-H. Lee, J. Power Sources, 2015, 279, 151–156 CrossRef CAS.
- Y. Jia, Q. Jiang, H. Sun, P. Liu, D. Hu, Y. Pei, W. Liu, X. Crispin, S. Fabiano, Y. Ma and Y. Cao, Adv. Mater., 2021, n/a, 2102990 CrossRef PubMed.
- R. Mulla, D. R. Jones and C. W. Dunnill, Adv. Mater. Technol., 2020, 5, 2000227 CrossRef CAS.
- Y. Ouyang, Z. Zhang, D. Li, J. Chen and G. Zhang, Ann. Phys., 2019, 531, 1800437 CrossRef CAS.
- Y. Zhang, J.-H. Bahk, J. Lee, C. S. Birkel, M. L. Snedaker, D. Liu, H. Zeng, M. Moskovits, A. Shakouri and G. D. Stucky, Adv. Mater., 2014, 26, 2755–2761 CrossRef CAS PubMed.
- H. Mun, S.-M. Choi, K. H. Lee and S. W. Kim, ChemSusChem, 2015, 8, 2312–2326 CrossRef CAS PubMed.
- A. J. Minnich, M. S. Dresselhaus, Z. F. Ren and G. Chen, Energy Environ. Sci., 2009, 2, 466–479 RSC.
- P. Priyadarshi, A. Sharma, S. Mukherjee and B. Muralidharan, J. Phys. D: Appl. Phys., 2018, 51, 185301 CrossRef.
- P. Priyadarshi and B. Muralidharan, J. Phys. D: Appl. Phys., 2020, 54, 095301 CrossRef.
- R. K. Biswas and S. K. Pati, ACS Appl. Energy Mater., 2021, 4, 2081–2090 CrossRef CAS.
- S. Chandra, A. Banik and K. Biswas, ACS Energy Lett., 2018, 3, 1153–1158 CrossRef CAS.
- R. Abinaya, S. Harish, S. Ponnusamy, M. Shimomura, M. Navaneethan and J. Archana, Chem. Eng. J., 2021, 416, 128484 CrossRef CAS.
- C. Bauer, I. Veremchuk, C. Kunze, A. Benad, V. M. Dzhagan, D. Haubold, D. Pohl, G. Schierning, K. Nielsch, V. Lesnyak and A. Eychmüller, Small Science, 2021, 1, 2000021 CrossRef.
- R. Chen, J. Lee, W. Lee and D. Li, Chem. Rev., 2019, 119, 9260–9302 CrossRef CAS PubMed.
- S. Elyamny, E. Dimaggio, S. Magagna, D. Narducci and G. Pennelli, Nano Lett., 2020, 20, 4748–4753 CrossRef CAS PubMed.
- L. Yang, D. Huh, R. Ning, V. Rapp, Y. Zeng, Y. Liu, S. Ju, Y. Tao, Y. Jiang, J. Beak, J. Leem, S. Kaur, H. Lee, X. Zheng and R. S. Prasher, Nat. Commun., 2021, 12, 3926 CrossRef CAS PubMed.
- X. Jiang, C. Ban, L. Li, C. Wang, W. Chen and X. Liu, AIP Adv., 2021, 11, 055120 CrossRef CAS.
- Y. Xiong, G. Zhou, N.-C. Lai, X. Wang, Y.-C. Lu, O. V. Prezhdo and D. Xu, ACS Nano, 2021, 15, 2791–2799 CrossRef CAS PubMed.
- X.-L. Zhu, P.-F. Liu, J. Zhang, P. Zhang, W.-X. Zhou, G. Xie and B.-T. Wang, Nanoscale, 2019, 11, 19923–19932 RSC.
- S. S. Kubakaddi, J. Phys.: Condens. Matter, 2021, 33, 245704 CrossRef CAS PubMed.
-
N. S. Sankeshwar, S. S. Kubakaddi and B. G. Mulimani, in Advances in Graphene Science, ed. M. Aliofkhazraei, IntechOpen, 2013 DOI:10.5772/56720.
- Y. Zhang, Y. Liu, M. Calcabrini, C. Xing, X. Han, J. Arbiol, D. Cadavid, M. Ibáñez and A. Cabot, J. Mater. Chem. C, 2020, 8, 14092–14099 RSC.
- M. Ibáñez, Z. Luo, A. Genç, L. Piveteau, S. Ortega, D. Cadavid, O. Dobrozhan, Y. Liu, M. Nachtegaal, M. Zebarjadi, J. Arbiol, M. V. Kovalenko and A. Cabot, Nat. Commun., 2016, 7, 10766 CrossRef PubMed.
- W.-X. Zhou and K.-Q. Chen, Sci. Rep., 2014, 4, 7150 CrossRef CAS PubMed.
- M. F. Sanad, A. E. Shalan, S. O. Abdellatif, E. S. A. Serea, M. S. Adly and M. A. Ahsan, Top. Curr. Chem., 2020, 378, 48 CrossRef CAS PubMed.
- S. Wang, W. Xie, H. Li and X. Tang, J. Phys. D: Appl. Phys., 2010, 43, 335404 CrossRef.
- Y. Xiao and L.-D. Zhao, npj Quantum Mater., 2018, 3, 55 CrossRef.
- J. Sun, X. Su, Y. Yan, W. Liu, G. Tan and X. Tang, ACS Appl. Energy Mater., 2020, 3, 2–8 CrossRef CAS.
- M. R. Burton, T. Liu, J. McGettrick, S. Mehraban, J. Baker, A. Pockett, T. Watson, O. Fenwick and M. J. Carnie, Adv. Mater., 2018, 30, 1801357 CrossRef PubMed.
- C. Chang, M. Wu, D. He, Y. Pei, C.-F. Wu, X. Wu, H. Yu, F. Zhu, K. Wang, Y. Chen, L. Huang, J.-F. Li, J. He and L.-D. Zhao, Science, 2018, 360, 778 CrossRef CAS PubMed.
- S. Chandra and K. Biswas, J. Am. Chem. Soc., 2019, 141, 6141–6145 CrossRef CAS PubMed.
- R. Basu, S. Bhattacharya, R. Bhatt, M. Roy, S. Ahmad, A. Singh, M. Navaneethan, Y. Hayakawa, D. K. Aswal and S. K. Gupta, J. Mater. Chem. A, 2014, 2, 6922–6930 RSC.
- S. Bathula, M. Jayasimhadri, N. Singh, A. K. Srivastava, J. Pulikkotil, A. Dhar and R. C. Budhani, Appl. Phys. Lett., 2012, 101, 213902 CrossRef.
- X. Chen, H. Zhang, Y. Zhao, W.-D. Liu, W. Dai, T. Wu, X. Lu, C. Wu, W. Luo, Y. Fan, L. Wang, W. Jiang, Z.-G. Chen and J. Yang, ACS Appl. Mater. Interfaces, 2019, 11, 22457–22463 CrossRef CAS PubMed.
- R. Mulla, D. R. Jones and C. W. Dunnill, ACS Sustainable Chem. Eng., 2020, 8, 14234–14242 CrossRef CAS.
- Z. Lin, C. Hollar, J. S. Kang, A. Yin, Y. Wang, H.-Y. Shiu, Y. Huang, Y. Hu, Y. Zhang and X. Duan, Adv. Mater., 2017, 29, 1606662 CrossRef PubMed.
- Y. He, T. Zhang, X. Shi, S.-H. Wei and L. Chen, NPG Asia Mater., 2015, 7, e210 CrossRef CAS.
- M. Li, Y. Liu, Y. Zhang, X. Han, T. Zhang, Y. Zuo, C. Xie, K. Xiao, J. Arbiol, J. Llorca, M. Ibáñez, J. Liu and A. Cabot, ACS Nano, 2021, 15, 4967–4978 CrossRef CAS PubMed.
- Y. Zhang, C. Xing, Y. Liu, M. C. Spadaro, X. Wang, M. Li, K. Xiao, T. Zhang, P. Guardia, K. H. Lim, A. O. Moghaddam, J. Llorca, J. Arbiol, M. Ibáñez and A. Cabot, Nano Energy, 2021, 85, 105991 CrossRef CAS.
- J.-A. Dolyniuk, B. Owens-Baird, J. Wang, J. V. Zaikina and K. Kovnir, Mater. Sci. Eng., R, 2016, 108, 1–46 CrossRef.
- M. Rull-Bravo, A. Moure, J. F. Fernández and M. Martín-González, RSC Adv., 2015, 5, 41653–41667 RSC.
- Vikram, J. Kangsabanik, Enamullah and A. Alam, J. Mater. Chem. A, 2017, 5, 6131–6139 RSC.
- J. Ma, A. S. Nissimagoudar, S. Wang and W. Li, Phys. Status Solidi RRL, 2020, 14, 2000084 CrossRef CAS.
- J.-H. Bahk, P. Santhanam, Z. Bian, R. Ram and A. Shakouri, Appl. Phys. Lett., 2012, 100, 012102 CrossRef.
- Y. Zhang and G. D. Stucky, Chem. Mater., 2014, 26, 837–848 CrossRef CAS.
- L. Carbone and P. D. Cozzoli, Nano Today, 2010, 5, 449–493 CrossRef CAS.
- M. Casavola, R. Buonsanti, G. Caputo and P. D. Cozzoli, Eur. J. Inorg. Chem., 2008, 837–854 CrossRef CAS.
- J.-S. Lee, E. V. Shevchenko and D. V. Talapin, J. Am. Chem. Soc., 2008, 130, 9673–9675 CrossRef CAS PubMed.
- H. Xie, K. Wang, Y. Li, F. Zhao, Y. Ye, W. Ye and W. Ni, Adv. Opt. Mater., 2021, 2002136 CrossRef CAS.
- X. Yin, L. Yang and Q. Gao, Nanoscale, 2020, 12, 15944–15969 RSC.
- K. Zhang, N. Xu, M. Jia, R. Li and M. Huang, J. Appl. Phys., 2019, 125, 183101 CrossRef.
- S. Kulkarni, M. Jadhav, P. Raikar, S. Raikar and U. Raikar, Ind. Eng. Chem. Res., 2019, 58, 3630–3639 CrossRef CAS.
- Z. Li, L. Sun, Y. Liu, L. Zhu, D. Yu, Y. Wang, Y. Sun and M. Yu, Environ. Sci.: Nano, 2019, 6, 1507–1515 RSC.
- X. Li, G.-Q. Han, Y.-R. Liu, B. Dong, W.-H. Hu, X. Shang, Y.-M. Chai and C.-G. Liu, ACS Appl. Mater. Interfaces, 2016, 8, 20057–20066 CrossRef CAS PubMed.
- E. P. Ferreira-Neto, S. Ullah, V. P. Martinez, J. M. S. C. Yabarrena, M. B. Simões, A. P. Perissinotto, H. Wender, F. S. de Vicente, P.-L. M. Noeske, S. J. L. Ribeiro and U. P. Rodrigues-Filho, Mater. Adv., 2021, 2, 2085–2096 RSC.
- B.-M. Nguyen, Y. Taur, S. T. Picraux and S. A. Dayeh, Nano Lett., 2014, 14, 585–591 CrossRef CAS PubMed.
- M. Shaygan, K. Davami, B. Jin, T. Gemming, J.-S. Lee and M. Meyyappan, J. Mater. Chem. C, 2016, 4, 2040–2046 RSC.
- C. K. K. Choi, Y. T. E. Chiu, X. Zhuo, Y. Liu, C. Y. Pak, X. Liu, Y.-L. S. Tse, J. Wang and C. H. J. Choi, ACS Nano, 2019, 13, 5864–5884 CrossRef CAS PubMed.
- M. L. Yola, N. Atar and N. Özcan, Nanoscale, 2021, 13, 4660–4669 RSC.
- S. Kulkarni, M. Jadhav, P. Raikar, D. A. Barretto, S. K. Vootla and U. S. Raikar, New J. Chem., 2017, 41, 9513–9520 RSC.
- C. E. Marvinney, X. Shen, J. R. McBride, D. Critchlow, Z. Li, D. C. Mayo, R. R. Mu, S. T. Pantelides and R. F. Haglund, ChemNanoMat, 2018, 4, 291–300 CrossRef CAS.
- L. Protesescu, T. Zünd, M. I. Bodnarchuk and M. V. Kovalenko, ChemPhysChem, 2016, 17, 670–674 CrossRef CAS PubMed.
- D. Yanover, R. Vaxenburg, J. Tilchin, A. Rubin-Brusilovski, G. Zaiats, R. K. Čapek, A. Sashchiuk and E. Lifshitz, J. Phys. Chem. C, 2014, 118, 17001–17009 CrossRef CAS.
- Z. Li, Y. Zhang and S. Jiang, Adv. Mater., 2008, 20, 4765–4769 CrossRef CAS.
- G. Park, C. Lee, D. Seo and H. Song, Langmuir, 2012, 28, 9003–9009 CrossRef CAS PubMed.
- Z. Zhou, Z. Zhang, Q. Zhang, H. Yang, Y. Zhu, Y. Wang and L. Chen, ACS Appl. Mater. Interfaces, 2020, 12, 1567–1576 CrossRef CAS PubMed.
- A. Samadi and S. Pourahmad, Int. J. Energy Res., 2020, 44, 10087–10100 CrossRef CAS.
- U. Sanyal, S. Ener, E. Anagnostopoulou, M. Pousthomis, P.-F. Fazzini, L.-M. Lacroix, K. P. Skokov, O. Gutfleisch and G. Viau, Chem. Mater., 2016, 28, 4982–4990 CrossRef CAS.
- L. Wang, C. Clavero, Z. Huba, K. J. Carroll, E. E. Carpenter, D. Gu and R. A. Lukaszew, Nano Lett., 2011, 11, 1237–1240 CrossRef CAS PubMed.
- L. Wang, K. Yang, C. Clavero, A. J. Nelson, K. J. Carroll, E. E. Carpenter and R. A. Lukaszew, J. Appl. Phys., 2010, 107, 09B303 CrossRef.
- W. Zhang, L. Wu, J. Du, J. Tian, Y. Li, Y. Zhao, H. Wu, Y. Zhong, Y.-C. Cao and S. Cheng, Mater. Adv., 2021, 2, 4634–4642 RSC.
- H.-p. Feng, L. Tang, G.-m. Zeng, Y. Zhou, Y.-c. Deng, X. Ren, B. Song, C. Liang, M.-y. Wei and J.-f. Yu, Adv. Colloid Interface Sci., 2019, 267, 26–46 CrossRef CAS.
- Y. Cao, M. Bernechea, A. Maclachlan, V. Zardetto, M. Creatore, S. A. Haque and G. Konstantatos, Chem. Mater., 2015, 27, 3700–3706 CrossRef CAS.
- M.-Y. Lu, M.-H. Hong, Y.-M. Ruan and M.-P. Lu, Chem. Commun., 2019, 55, 5351–5354 RSC.
- C. M. Pelicano, I. Raifuku, Y. Ishikawa, Y. Uraoka and H. Yanagi, Mater. Adv., 2020, 1, 1253–1261 RSC.
- V. Hiremath, M. L. T. Trivino, R. Shavi, M. N. Gebresillase and J. G. Seo, Mater. Lett., 2018, 211, 304–307 CrossRef CAS.
- N. Ali, A. A. Babar, Y. Zhang, N. Iqbal, X. Wang, J. Yu and B. Ding, J. Colloid Interface Sci., 2020, 560, 379–387 CrossRef CAS PubMed.
- T. K. Kim, K. J. Lee, J. Yuh, S. K. Kwak and H. R. Moon, New J. Chem., 2014, 38, 1606–1610 RSC.
- Y. Jang, A. Shapiro, M. Isarov, A. Rubin-Brusilovski, A. Safran, A. K. Budniak, F. Horani, J. Dehnel, A. Sashchiuk and E. Lifshitz, Chem. Commun., 2017, 53, 1002–1024 RSC.
- R. Mastria and A. Rizzo, J. Mater. Chem. C, 2016, 4, 6430–6446 RSC.
- G. S. Selopal, H. Zhao, Z. M. Wang and F. Rosei, Adv. Funct. Mater., 2020, 30, 1908762 CrossRef CAS.
- M. Scheele, N. Oeschler, I. Veremchuk, S.-O. Peters, A. Littig, A. Kornowski, C. Klinke and H. Weller, ACS Nano, 2011, 5, 8541–8551 CrossRef CAS PubMed.
- M. Wagner, G. Span, S. Holzer, O. Triebl, T. Grasser and V. Palankovski, ECS Trans., 2019, 3, 1151–1162 CrossRef.
- G. J. Snyder and E. S. Toberer, Nat. Mater., 2008, 7, 105–114 CrossRef CAS PubMed.
- X. Li, C. Hu, X. Kang, Q. Len, Y. Xi, K. Zhang and H. Liu, J. Mater. Chem. A, 2013, 1, 13721–13726 RSC.
- L. Wu, X. Li, S. Wang, T. Zhang, J. Yang, W. Zhang, L. Chen and J. Yang, NPG Asia Mater., 2017, 9, e343 CrossRef CAS.
- J. P. Heremans, V. Jovovic, E. S. Toberer, A. Saramat, K. Kurosaki, A. Charoenphakdee, S. Yamanaka and G. J. Snyder, Science, 2008, 321, 554 CrossRef CAS PubMed.
- F. Serrano-Sánchez, T. Luo, J. Yu, W. Xie, C. Le, G. Auffermann, A. Weidenkaff, T. Zhu, X. Zhao, J. A. Alonso, B. Gault, C. Felser and C. Fu, J. Mater. Chem. A, 2020, 8, 14822–14828 RSC.
- Z.-G. Chen, G. Han, L. Yang, L. Cheng and J. Zou, Prog. Nat. Sci.: Mater. Int., 2012, 22, 535–549 CrossRef.
- S. S. Kubakaddi and B. G. Mulimani, J. Appl. Phys., 1985, 58, 3643–3645 CrossRef CAS.
- J. Sun, M. L. Yeh, B. J. Jung, B. Zhang, J. Feser, A. Majumdar and H. E. Katz, Macromolecules, 2010, 43, 2897–2903 CrossRef CAS.
- Z. Ma, C. Wang, J. Lei, D. Zhang, Y. Chen, Y. Wang, J. Wang and Z. Cheng, Nanoscale, 2020, 12, 1904–1911 RSC.
- H.-Z. Li, R.-P. Li, J.-H. Liu and M.-J. Huang, Phys. B: Condensed Matter, 2015, 479, 1–5 CrossRef CAS.
- Y. Min, J. W. Roh, H. Yang, M. Park, S. I. Kim, S. Hwang, S. M. Lee, K. H. Lee and U. Jeong, Adv. Mater., 2013, 25, 1425–1429 CrossRef CAS PubMed.
- Y. Zheng, Y. Luo, C. Du, B. Zhu, Q. Liang, H. H. Hng, K. Hippalgaonkar, J. Xu and Q. Yan, Mater. Chem. Front., 2017, 1, 2457–2473 RSC.
- P. G. Burke, B. M. Curtin, J. E. Bowers and A. C. Gossard, Nano Energy, 2015, 12, 735–741 CrossRef CAS.
- Y. Luo, Q. Jiang, J. Yang, W. Li, D. Zhang, Z. Zhou, Y. Cheng, Y. Ren, X. He and X. Li, Nano Energy, 2017, 32, 80–87 CrossRef CAS.
- S. J. Poon, A. S. Petersen and D. Wu, Appl. Phys. Lett., 2013, 102, 173110 CrossRef.
- M. Ibáñez, R. Zamani, S. Gorsse, J. Fan, S. Ortega, D. Cadavid, J. R. Morante, J. Arbiol and A. Cabot, ACS Nano, 2013, 7, 2573–2586 CrossRef PubMed.
- M. Ibáñez, R. J. Korkosz, Z. Luo, P. Riba, D. Cadavid, S. Ortega, A. Cabot and M. G. Kanatzidis, J. Am. Chem. Soc., 2015, 137, 4046–4049 CrossRef PubMed.
- R. Miranti, D. Shin, R. D. Septianto, M. Ibáñez, M. V. Kovalenko, N. Matsushita, Y. Iwasa and S. Z. Bisri, ACS Nano, 2020, 14, 3242–3250 CrossRef CAS PubMed.
- C. Ou, J. Hou, T.-R. Wei, B. Jiang, S. Jiao, J.-F. Li and H. Zhu, NPG Asia Mater., 2015, 7, e182 CrossRef.
- Y. Jin, J. Hwang, M.-K. Han, W. Shon, J.-S. Rhyee and S.-J. Kim, ACS Appl. Mater. Interfaces, 2020, 12, 36589–36599 CrossRef CAS PubMed.
- V. Sharma, G. S. Okram, D. Verma, N. P. Lalla and Y.-K. Kuo, ACS Appl. Mater. Interfaces, 2020, 12, 54742–54751 CrossRef CAS.
- M. Ibáñez, R. Hasler, Y. Liu, O. Dobrozhan, O. Nazarenko, D. Cadavid, A. Cabot and M. V. Kovalenko, Chem. Mater., 2017, 29, 7093–7097 CrossRef.
- J. Moon, J.-H. Kim, Z. C. Y. Chen, J. Xiang and R. Chen, Nano Lett., 2013, 13, 1196–1202 CrossRef CAS.
- X. Chen, Y. Wang and Y. Ma, J. Phys. Chem. C, 2010, 114, 9096–9100 CrossRef CAS.
- Z.-H. Ge, P. Qin, D. He, X. Chong, D. Feng, Y.-H. Ji, J. Feng and J. He, ACS Appl. Mater. Interfaces, 2017, 9, 4828–4834 CrossRef CAS PubMed.
- T. Juntunen, T. Koskinen, V. Khayrudinov, T. Haggren, H. Jiang, H. Lipsanen and I. Tittonen, Nanoscale, 2019, 11, 20507–20513 RSC.
- M. C. Wingert, Z. C. Y. Chen, E. Dechaumphai, J. Moon, J.-H. Kim, J. Xiang and R. Chen, Nano Lett., 2011, 11, 5507–5513 CrossRef CAS PubMed.
- J.-N. Shen, L.-M. Wu and Y.-F. Zhang, J. Mater. Chem. A, 2014, 2, 2538–2543 RSC.
- Y. Wang, B. Li and G. Xie, RSC Adv., 2013, 3, 26074–26079 RSC.
- K. Yang, A. Cantarero, A. Rubio and R. D’Agosta, Nano Res., 2015, 8, 2611–2619 CrossRef CAS.
- M. Hu, K. P. Giapis, J. V. Goicochea, X. Zhang and D. Poulikakos, Nano Lett., 2011, 11, 618–623 CrossRef CAS PubMed.
- S. Fust, A. Faustmann, D. J. Carrad, J. Bissinger, B. Loitsch, M. Döblinger, J. Becker, G. Abstreiter, J. J. Finley and G. Koblmüller, Adv. Mater., 2020, 32, 1905458 CrossRef CAS PubMed.
- J. Kang, J. W. Roh, W. Shim, J. Ham, J.-S. Noh and W. Lee, Adv. Mater., 2011, 23, 3414–3419 CrossRef CAS PubMed.
- G. Zhang, W. Wang and X. Li, Adv. Mater., 2008, 20, 3654–3656 CrossRef CAS.
- M. Kockert, R. Mitdank, H. Moon, J. Kim, A. Mogilatenko, S. H. Moosavi, M. Kroener, P. Woias, W. Lee and S. F. Fischer, Nanoscale Adv., 2021, 3, 263–271 RSC.
- S. Hong, W. Kim, S.-J. Jeon, S. C. Lim, H.-J. Lee, S. Hyun, Y. H. Lee and S. Baik, J. Phys. Chem. C, 2013, 117, 913–917 CrossRef CAS.
- B. Ketharachapalli and R. K. Dash, Appl. Nanosci., 2018, 8, 1887–1893 CrossRef CAS.
- J. Xiang, W. Lu, Y. Hu, Y. Wu, H. Yan and C. M. Lieber, Nature, 2006, 441, 489–493 CrossRef CAS PubMed.
- P. Ying, R. He, J. Mao, Q. Zhang, H. Reith, J. Sui, Z. Ren, K. Nielsch and G. Schierning, Nat. Commun., 2021, 12, 1121 CrossRef CAS.
- R. Mulla, D. R. Jones and C. W. Dunnill, Mater. Today Commun., 2021, 29, 102738 CrossRef CAS.
- G. Dennler, R. Chmielowski, S. Jacob, F. Capet, P. Roussel, S. Zastrow, K. Nielsch, I. Opahle and G. K. H. Madsen, Adv. Energy Mater., 2014, 4, 1301581 CrossRef.
- R. Mulla and M. K. Rabinal, Ultrason. Sonochem., 2017, 39, 528–533 CrossRef CAS PubMed.
- Y. Wu, Q. Lou, Y. Qiu, J. Guo, Z.-Y. Mei, X. Xu, J. Feng, J. He and Z.-H. Ge, Inorg. Chem. Front., 2019, 6, 1374–1381 RSC.
- C. J. Barnett, J. E. McCormack, E. M. Deemer, C. R. Evans, J. E. Evans, A. O. White, P. R. Dunstan, R. R. Chianelli, R. J. Cobley and A. R. Barron, J. Phys. Chem. C, 2020, 124, 18777–18783 CrossRef CAS.
- C. J. Barnett, J. D. McGettrick, V. S. Gangoli, E. Kazimierska, A. Orbaek White and A. R. Barron, Materials, 2021, 14, 2106 CrossRef CAS PubMed.
- B. Kumanek, G. Stando, P. Stando, K. Matuszek, K. Z. Milowska, M. Krzywiecki, M. Gryglas-Borysiewicz, Z. Ogorzałek, M. C. Payne, D. MacFarlane and D. Janas, Sci. Rep., 2021, 11, 8649 CrossRef CAS PubMed.
- H. R. Lee, N. Furukawa, A. J. Ricco, E. Pop, Y. Cui and Y. Nishi, Appl. Phys. Lett., 2021, 118, 173901 CrossRef CAS.
- R. Nunna, P. Qiu, M. Yin, H. Chen, R. Hanus, Q. Song, T. Zhang, M.-Y. Chou, M. T. Agne, J. He, G. J. Snyder, X. Shi and L. Chen, Energy Environ. Sci., 2017, 10, 1928–1935 RSC.
- F. L. De Volder Michael, H. Tawfick Sameh, H. Baughman Ray and A. J. Hart, Science, 2013, 339, 535–539 CrossRef CAS PubMed.
- J. L. Blackburn, A. J. Ferguson, C. Cho and J. C. Grunlan, Adv. Mater., 2018, 30, 1704386 CrossRef PubMed.
- T. Lee, J. W. Lee, K. T. Park, J.-S. Kim, C. R. Park and H. Kim, ACS Nano, 2021, 15, 13118–13128 CrossRef CAS PubMed.
- K. T. Park, T. Lee, Y. Ko, Y. S. Cho, C. R. Park and H. Kim, ACS Appl. Mater. Interfaces, 2021, 13, 6257–6264 CrossRef CAS.
- Y. Wang, Z. Lu, Q. Hu, X. Qi, Q. Li, Z. Wu, H.-L. Zhang, C. Yu and H. Wang, J. Mater. Chem. A, 2021, 9, 3341–3352 RSC.
- M. S. Islam, H. Ohmagari, M. A. Rahman, Y. Shudo, M. Fukuda, J. Yagyu, Y. Sekine, L. F. Lindoy and S. Hayami, Mater. Adv., 2021, 2, 5645–5649 RSC.
- W.-H. Chiang, C.-Y. Hsieh, S.-C. Lo, Y.-C. Chang, T. Kawai and Y. Nonoguchi, Carbon, 2016, 109, 49–56 CrossRef CAS.
- K. Xu, G. Chen and D. Qiu, J. Mater. Chem. A, 2013, 1, 12395–12399 RSC.
- S. Han, W. Zhai, G. Chen and X. Wang, RSC Adv., 2014, 4, 29281–29285 RSC.
- X. Hu, G. Chen and X. Wang, Compos. Sci. Technol., 2017, 144, 43–50 CrossRef CAS.
- C. Gao and G. Chen, Small, 2018, 14, 1703453 CrossRef PubMed.
- Y. Xue, Z. Zhang, Y. Zhang, X. Wang, L. Li, H. Wang and G. Chen, Carbon, 2020, 157, 324–329 CrossRef CAS.
- Y. Xue, C. Gao, L. Liang, X. Wang and G. Chen, J. Mater. Chem. A, 2018, 6, 22381–22390 RSC.
- T. J. Slade, S. Anand, M. Wood, J. P. Male, K. Imasato, D. Cheikh, M. M. Al Malki, M. T. Agne, K. J. Griffith, S. K. Bux, C. Wolverton, M. G. Kanatzidis and G. J. Snyder, Joule, 2021, 5, 1168–1182 CrossRef CAS.
- R. Mulla and M. H. K. Rabinal, Energy Technol., 2019, 7, 1800850 CrossRef.
- Y. Li, Z. Wu, J. Lin, Y. Wang, J. Mao, H. Xie and Z. Li, Mater. Sci. Semicond. Process., 2021, 121, 105393 CrossRef CAS.
- M. Liu and X. Y. Qin, Appl. Phys. Lett., 2012, 101, 132103 CrossRef.
- D. Ginting, C.-C. Lin, L. Rathnam, J. H. Yun, B.-K. Yu, S.-J. Kim and J.-S. Rhyee, J. Mater. Chem. A, 2017, 5, 13535–13543 RSC.
- B. Paul, A. K. Vaddepally and P. Banerji, J. Appl. Phys., 2010, 108, 064322 CrossRef.
- P. K. Rawat, B. Paul and P. Banerji, ACS Appl. Mater. Interfaces, 2014, 6, 3995–4004 CrossRef CAS PubMed.
- S. Li, J. Xin, A. Basit, Q. Long, S. Li, Q. Jiang, Y. Luo and J. Yang, Adv. Sci., 2020, 7, 1903493 CrossRef CAS PubMed.
- M. Yaprintsev, A. Vasil'ev, O. Ivanov, M. Zhezhu, E. Yaprintseva and V. Novikov, Scr. Mater., 2021, 194, 113710 CrossRef CAS.
- S. Cai, S. Hao, Z.-Z. Luo, X. Li, I. Hadar, T. P. Bailey, X. Hu, C. Uher, Y.-Y. Hu, C. Wolverton, V. P. Dravid and M. G. Kanatzidis, Energy Environ. Sci., 2020, 13, 200–211 RSC.
- B. Xiang, J. Liu, J. Yan, M. Xia, Q. Zhang, L. Chen, J. Li, X. Y. Tan, Q. Yan and Y. Wu, J. Mater. Chem. A, 2019, 7, 18458–18467 RSC.
- J. Zhang, S. Li, Z. Zhu, Z. Wu and J. Zhang, Dalton Trans., 2021, 50, 10515–10523 RSC.
- Y.-X. Zhang, Z.-H. Ge and J. Feng, J. Alloys Compd., 2017, 727, 1076–1082 CrossRef CAS.
- Y.-X. Zhang, Y.-K. Zhu, D.-S. Song, J. Feng and Z.-H. Ge, Chem. Commun., 2021, 57, 2555–2558 RSC.
- X. Meng, Z. Liu, B. Cui, D. Qin, H. Geng, W. Cai, L. Fu, J. He, Z. Ren and J. Sui, Adv. Energy Mater., 2017, 7, 1602582 CrossRef.
- P.-a. Zong, R. Hanus, M. Dylla, Y. Tang, J. Liao, Q. Zhang, G. J. Snyder and L. Chen, Energy Environ. Sci., 2017, 10, 183–191 RSC.
- P.-a. Zong, X. Chen, Y. Zhu, Z. Liu, Y. Zeng and L. Chen, J. Mater. Chem. A, 2015, 3, 8643–8649 RSC.
- U. G. Hwang, K. Kim, W. Kim, W. H. Shin, W.-S. Seo and Y. S. Lim, Electron. Mater. Lett., 2019, 15, 605–612 CrossRef CAS.
- J. U. Rahman, N. V. Du, W. H. Nam, W. H. Shin, K. H. Lee, W.-S. Seo, M. H. Kim and S. Lee, Sci. Rep., 2019, 9, 8624 CrossRef PubMed.
- L. Chen, W. Zhao, M. Li, G. Yang, S. M. K. Nazrul Islam, D. R. G. Mitchell, Z. Cheng and X. Wang, Nanoscale, 2020, 12, 12760–12766 RSC.
- B. F. Machado and P. Serp, Catal. Sci. Technol., 2012, 2, 54–75 RSC.
- R. M. Gunnagol and M. H. K. Rabinal, ChemistrySelect, 2018, 3, 2578–2585 CrossRef CAS.
- R. Li, S. Wang, P. Bai, B. Fan, B. Zhao and R. Zhang, Mater. Adv., 2021, 2, 718–727 RSC.
- B. Sharma, R. Mulla and M. K. Rabinal, AIP Conf. Proc., 2015, 1665, 050129 CrossRef.
- S. Nandhini and G. Muralidharan, Electrochim. Acta, 2021, 365, 137367 CrossRef CAS.
- G. N. S. Babu and N. Kalaiselvi, Electrochim. Acta, 2021, 372, 137855 CrossRef CAS.
- S. N. Prashanth, N. L. Teradal, J. Seetharamappa, A. K. Satpati and A. V. R. Reddy, Electrochim. Acta, 2014, 133, 49–56 CrossRef CAS.
- N. Shauloff, N. L. Teradal and R. Jelinek, ACS Sens., 2020, 5, 1573–1581 CrossRef CAS PubMed.
- B. Feng, J. Xie, G. Cao, T. Zhu and X. Zhao, J. Mater. Chem. A, 2013, 1, 13111–13119 RSC.
- L. Huang, J. Lu, D. Ma, C. Ma, B. Zhang, H. Wang, G. Wang, D. H. Gregory, X. Zhou and G. Han, J. Mater. Chem. A, 2020, 8, 1394–1402 RSC.
- P.-a. Zong, J. Liang, P. Zhang, C. Wan, Y. Wang and K. Koumoto, ACS Appl. Energy Mater., 2020, 3, 2224–2239 CrossRef CAS.
- J. Huang, P. Yan, Y. Liu, J. Xing, H. Gu, Y. Fan and W. Jiang, ACS Appl. Mater. Interfaces, 2020, 12, 52721–52730 CrossRef CAS PubMed.
- J. Cao, D. Ekren, Y. Peng, F. Azough, I. A. Kinloch and R. Freer, ACS Appl. Mater. Interfaces, 2021, 13, 11879–11890 CrossRef CAS PubMed.
- H. Tang, F.-H. Sun, J.-F. Dong, Asfandiyar, H.-L. Zhuang, Y. Pan and J.-F. Li, Nano Energy, 2018, 49, 267–273 CrossRef CAS.
- Y. He, T. Day, T. Zhang, H. Liu, X. Shi, L. Chen and G. J. Snyder, Adv. Mater., 2014, 26, 3974–3978 CrossRef CAS.
- X. Liang, Appl. Phys. Lett., 2017, 111, 133902 CrossRef.
- L. Fu, J. Yang, J. Peng, Q. Jiang, Y. Xiao, Y. Luo, D. Zhang, Z. Zhou, M. Zhang, Y. Cheng and F. Cheng, J. Mater. Chem. A, 2015, 3, 1010–1016 RSC.
- K.-C. Kim, S.-S. Lim, S. H. Lee, J. Hong, D.-Y. Cho, A. Y. Mohamed, C. M. Koo, S.-H. Baek, J.-S. Kim and S. K. Kim, ACS Nano, 2019, 13, 7146–7154 CrossRef CAS PubMed.
- J. Hwang, H. Kim, M.-K. Han, J. Hong, J.-H. Shim, J.-Y. Tak, Y. S. Lim, Y. Jin, J. Kim, H. Park, D.-K. Lee, J.-H. Bahk, S.-J. Kim and W. Kim, ACS Nano, 2019, 13, 8347–8355 CrossRef CAS PubMed.
- S. Ortega, M. Ibáñez, Y. Liu, Y. Zhang, M. V. Kovalenko, D. Cadavid and A. Cabot, Chem. Soc. Rev., 2017, 46, 3510–3528 RSC.
- R. Mulla and M. K. Rabinal, Energy Technol., 2018, 6, 1178–1185 CrossRef CAS.
- C. Gayner and Y. Amouyal, Adv. Funct. Mater., 2020, 30, 1901789 CrossRef CAS.
|
This journal is © The Royal Society of Chemistry 2022 |
Click here to see how this site uses Cookies. View our privacy policy here.