Nanoporous CoSe2 polyhedra imbedded graphene as a high-performance sodium-ion battery anode material

Shujie Liu , Haiguang Guo , Bohao Wang , Liang Qiao , Xiaoying Hu * and Junzhi Li *
Key Laboratory of Materials Design and Quantum Simulation, College of Materials Science and Engineering, Changchun University, Changchun 130022, China. E-mail: huxy@ccu.edu.cn; lijz91@ccu.edu.cn

Received 12th August 2025 , Accepted 11th September 2025

First published on 15th September 2025


Abstract

Sodium-ion batteries (SIBs) have emerged as promising candidates with the virtues of abundant sodium resources and low cost of sodium salts. CoSe2 as an anode material has attracted much attention because of its high theoretical capacity. However, the low conductivity of CoSe2 still severely hinders its application. Herein, we fabricated a graphene-crosslinked CoSe2 polyhedron composite material (CoPG) by utilizing graphene as the conductive framework and MOF-derived CoSe2 as the active component for energy storage. The carbon layer derived from the MOF can effectively inhibit polyselenide dissolution and, in combination with graphene, construct a double-carbon-layer conductive network that facilitates electron transport. As a result, the as-prepared CoPG3 can deliver a high reversible capacity of 565 mAh g−1 at 0.05C. After 100 cycles, its capacity remained at 87% at 0.5C. This work provides a new insight into the relationship between the conductivity and performance of electrode materials for SIBs.


Introduction

The lithium-based battery technologies are becoming very mature as a large number of portable electronic devices,1–4 such as electric automobiles and personal laptops, are indispensable in daily life. Given the abundance of lithium in the Earth’s crust, alternative de-inter/intercalation ions should be taken into consideration for the long-term development.5,6 Sodium-ion batteries (SIBs) have emerged as promising candidates with the virtues of abundant sodium resources and the low costs of sodium salts.7,8 Unfortunately, the larger radius of the Na ion (0.106 vs. 0.076 nm, Li ion) triggers sluggish kinetics and matching issues with anode materials, leading to unsatisfactory capacity and rate capability.9 Graphite, a well-studied anode material for Li ion batteries,10,11 merely holds a Na capacity of 0.15 Ah g−1, and unparalleled Na capacities are also discovered in other Li ion battery anode materials.12–14 Thus, synthesizing appropriate anode materials for Na batteries is of great urgency.15,16

CoSe2, as a member of the transition metal chalcogenides (TMCs) family, has attracted much attention as a potential anode material for SIBs because of its high theoretical capacity.17–19 Compared to Co–O and Co–S bonds, the Co–Se bond is much weaker and is easy to break and rebond, benefiting the conversion mechanism of CoSe2 in SIBs. Nevertheless, the inferior electrical conductivity of CoSe2 triggers a sluggish sodiation/desodiation process and insufficient Na ion transportation.20,21 In addition, the accompanying serious volume change issue compromises the performance sustainability. Designing a suitable synthesis route for large-scale CoSe2 with enhanced conductivity and cyclability is essential towards commercialization. Morphology regulation is the ideal method to create buffer space.22 Due to the variety of metal salts and organic linkers, metal–organic frameworks (MOFs) can adequately function as the template and precursor to yield desired porous polyhedrons.23,24 To further reduce the electrode pulverization, these porous polyhedrons should be evenly distributed on a conductive matrix rather than being made in the paste directly.25 Therefore, compositing the selected MOF with graphene for selenation is one promising strategy to reach such a purpose because the wrinkles of graphene can prevent the aggregation of an excess of CoSe2 polyhedrons and the excellent conductivity makes graphene a matrix interlinking each CoSe2 polyhedron. In this scenario, the ratio between CoSe2 and the composite graphene, namely the trade-off between conductivity and active sites, is an important factor which has a great influence on the overall performance towards the large-scale production.26,27

Herein, a series of nanoporous CoSe2 polyhedrons imbedded graphene (CoPG) materials with different CoSe2/graphene ratios are synthesized to regulate the relationship between conductivity and electrochemical performance. ZIF-67 is chosen as both the structural template and precursor, and is composited with graphene through sonication at weight ratios of 1[thin space (1/6-em)]:[thin space (1/6-em)]1, 2[thin space (1/6-em)]:[thin space (1/6-em)]1, and 3[thin space (1/6-em)]:[thin space (1/6-em)]1 (ZIF-67[thin space (1/6-em)]:[thin space (1/6-em)]graphene) for the selenization process. The resulting selenized products are designated as CoPG1, CoPG2, and CoPG3, respectively. The in situ transformation introduces chemical bonds between the CoSe2 nanoboxes and graphene, which facilitates ion diffusions and electron transfer. Therefore, when the current density is 0.05C, CoPG3 delivers a discharge capacity of 844 mAh g−1, which stabilizes at 565 mAh g−1 in subsequent cycles. Moreover, even at 0.5C, the CoPG3 retains 87% of its initial capacity after 100 cycles.

Experimental

Materials preparation

Synthesis of CoPG. ZIF-67 was synthesized using the co-precipitation method. 328 mg of 2-methylimidazole and 249 mg of cobalt nitrate hexahydrate were dissolved in methanol (20 mL). The prepared mixed solution was deposited at 25 °C for 24 h. The purple precipitate was obtained by centrifugation, washed three times with ethanol and dried at 60 °C. The dried ZIF-67 precursor and graphene were thoroughly mixed using ultrasonic treatment. The resulting mixture was then dried and transferred into a tube furnace along with selenium powder, which was positioned upstream in the gas flow direction. The temperature was increased from room temperature to 550 °C at a rate of 5 °C per minute, held at 550 °C for two hours, cooled down naturally and the selenized powder was ground for use. The selenization products obtained at ZIF-67 to graphene mass ratios of 1[thin space (1/6-em)]:[thin space (1/6-em)]1, 2[thin space (1/6-em)]:[thin space (1/6-em)]1, and 3[thin space (1/6-em)]:[thin space (1/6-em)]1 were designated as CoPG1, CoPG2, and CoPG3, respectively.
Characterization. X-ray diffraction (XRD) patterns were collected by using a Bruker D8 diffractometer using Cu Kα radiation (wavelength 0.15406 nm). Measurements were carried out from 20 to 70°. Scanning electron microscopy (SEM) images of the obtained samples and energy dispersive spectrometry (EDS) analysis were obtained using a Hitachi SU-8010. Detailed microstructural characterization was carried out using a transmission electron microscope (TEM, JEM2100F for high resolution TEM images). The Brunauer–Emmett–Teller (BET) surface area was determined using a JW-BK123F instrument and nitrogen was adsorbed using the Barrett–Joyner–Halenda (BJH) method at 77 K. X-ray photoelectron spectroscopy (XPS) was performed with a Thermo ESCALab 250 analyser operating in constant analyser energy mode, recorded using monochromatic Al Kα radiation (1486.6 eV). Infrared spectra (FTIR) were recorded using an IFS-66V/S infrared spectroradiometer.
Electrochemical measurements. The working electrode is made by grinding the active material (CoSe2, CoPG1, CoPG2 and CoPG3), super P and a mixture of carboxymethylcellulose (CMC) (7[thin space (1/6-em)]:[thin space (1/6-em)]1.5[thin space (1/6-em)]:[thin space (1/6-em)]1.5 by weight) with water as a dispersant. The above slurry was then applied to copper foil and dried in vacuum at 60 °C for 10 h. The average mass loading of the electrodes was approximately 0.8–1.0 mg cm−2. The coin half-cells of type CR2032 for the Na-ion-battery (SIB) were assembled in an argon filled glove box using a sodium foil as counter electrode, a Celgard 2400 microporous polypropylene membrane as separator and an electrolyte of 1 M NaClO4 dissolved in vinyl carbonate (EC), ethyl methyl carbonate (EMC) and dimethyl carbonate (DMC) (1[thin space (1/6-em)]:[thin space (1/6-em)]1[thin space (1/6-em)]:[thin space (1/6-em)]1 vol%) with 5.0% fluoroethylene carbonate (FEC).

Results and discussion

Nanoporous CoSe2 polyhedrons are derived from the selenization of ZIF-67 at 550 °C in a N2 atmosphere. ZIF-67/graphene composites are prepared by mixing ZIF-67 and graphene in a vial with 25 mL ethanol with different weight ratios for ultrasonic dispersion. Then CoPG1, CoPG2 and CoPG3 are obtained by selenization of these ZIF-67/graphene composites at 550 °C. Fig. 1A shows the XRD pattern of pure CoSe2. The peaks in the pattern are well matched with a hastite phase CoSe2 (PDF, card no. 53-0449). The crystal system of the compound is orthorhombic, with the X-ray diffraction space group Pnnm. The lattice parameters a, b, and c are 4.8485, 5.7282, and 3.63 Å, respectively (Fig. 1B). Purple balls are Co atoms, yellow balls are Se atoms. The XRD patterns of CoPG1, CoPG2 and CoPG3 are shown in Fig. 1C. After compositing with graphene and the subsequent selenization, CoPG1, CoPG2 and CoPG3 display identical sharp peaks, indicating the hastite phase is retained. After compositing with graphene, these porous polyhedrons are observed to be uniformly distributed on the graphene sheet (Fig. 1D–F).
image file: d5dt01923k-f1.tif
Fig. 1 Phase analysis. (A) The XRD pattern of CoSe2. (B) The crystal structure of the as-prepared CoSe2. Purple balls are Co atoms, yellow balls are Se atoms. (C) The XRD patterns of CoPG1, CoPG2 and CoPG3. Physical characterizations of CoPG1, CoPG2 and CoPG3. (D–F) SEM images of CoPG1, CoPG2 and CoPG3, respectively.

Fig. 2A shows an SEM image of ZIF-67 polyhedrons; ZIF-67 is a type of zeolitic imidazolate framework self-assembled from methylimidazole and cobalt ions. The sizes of these ZIF-67 polyhedrons are about 500–700 nm. After the selenization at 550 °C, ZIF-67 particles conformally transformed to porous polyhedrons with rough surfaces (Fig. 2B), which well preserves the morphology of ZIF-67. The TEM image also confirms the porous structure, and we can see massive pore-structure inside the CoSe2 polyhedron. One of the disadvantages of CoSe2 being the anode material for SIBs is the volume expansion during the charge/discharge cycle. The void space inside the CoSe2 polyhedron can provide a buffer zone to counteract the volume expansion in the sodiation process. Besides the lattice fringes of 0.171, 0.257 and 0.296 nm corresponding to the (031), (111) and (101) planes of CoSe2, the HRTEM image also confirms that the CoSe2 polyhedron is coated by a carbon layer with an ∼10 nm thickness. To analyze the element distribution, an EDS experiment was conducted. As we can see in Fig. 2E, Co, Se, C with a small quantity of N element are evenly distributed in the structure.


image file: d5dt01923k-f2.tif
Fig. 2 The morphology characterization from the ZIF-67 polyhedron to nanoporous CoSe2. (A) SEM image of ZIF-67. (B) and (C) SEM and TEM images of nanoporous CoSe2 polyhedrons. (D) HRTEM image of CoSe2 polyhedrons derived from ZIF-67. (E) SEM elemental mapping of CoSe2.

After compositing with graphene, these porous polyhedrons are observed to be uniformly distributed on the graphene sheet. As the weight ratio of ZIF-67/graphene is increased, the graphene sheet is gradually covered by CoSe2 polyhedrons, thus yielding CoPG1, CoPG2 and CoPG3 (Fig. 1D–F). The Raman spectra of the pure CoSe2 polyhedrons, CoPG1, CoPG2 and CoPG3 are depicted in Fig. 3A, showing three peaks centered around 673, 1350 and 1592 cm−1. The peak located at 673 cm−1 is attributed to O7 h spectroscopic symmetry, namely the A1g mode.28 The other two peaks located at 1350 and 1592 cm−1 are the typical D and G bands of carbon materials, caused by the lattice defects and C sp2 stretching in plane, respectively. As observed in the spectrum of pure CoSe2, the intensities of the D and G bands are inconspicuous implying the amorphous nature of the carbon layer outside the CoSe2 polyhedrons. After compositing with graphene, the D and G bands becomes obvious due to the existence of graphene. As the content increased from CoPG1 to CoPG3, ID/IG also increased from 1.02 to 1.22, which evidenced a decreasing graphitization degree. This is because the amount of amorphous carbon is increased, which also indicates a decreased electrical conductivity from CoPG1 to CoPG3. The N2 adsorption–desorption isotherms of CoPG3 are depicted in Fig. 3B. The CoPG3 sample showed type II nitrogen adsorption–desorption isotherms and H2 hysteresis loops in the relative pressure (p/p0) range of 0.5–1.0. The BET surface area of CoPG3 is 96.65 m2 g−1, and the pore diameter is 14.17 nm. The full XPS survey of the CoSe2 polyhedron is shown in Fig. 3C, in which Se, Co C and N are observed. The typical Se 3d XPS spectrum of the CoSe2 polyhedron shows the binding energies are 55.9 and 54.8 eV for Se 3d3/2 and 3d5/2, respectively. And the peak centered around 59.1 eV is attributed to the interaction between Se and C atoms. The XPS spectra of Se 3d for CoPG1 to CoPG3, with the increased graphene content, are shown in Fig. 3D–F for comparison.21 As shown in Table S1, the CoPG1 to CoPG3 values for the Se 3d3/2 ratio increased from 23% to 24.7%. The specific area represents another critical factor that significantly influences the overall electrochemical performance of CoSe2.


image file: d5dt01923k-f3.tif
Fig. 3 (A) Raman spectra of CoSe2, CoPG1, CoPG2 and CoPG3. (B) N2 adsorption–desorption isotherms and pore-size distributions of CoPG3. (C) XPS survey spectra of CoSe2 polyhedron. (D–F). XPS spectra of Se element in CoPG1, CoPG2 and CoPG3, respectively.

The electrochemical performances of CoSe2, CoPG1, CoPG2 and CoPG3 as the anode material for SIBs were tested in a 2032-type coin cell with a sodium foil as the counter and reference electrodes. The initial three CV curves for pure CoSe2 ranging from 0 to 3 V at the scan rate of 0.5 mV s−1 are shown in Fig. S1. In the following cycles, there are three peaks in the cathodic scan, which is due to the conversion mechanism of CoSe2. There is one prominent peak at 1.95 V with a weak shoulder peak on the left due to formation of CoSe2 from Na2Se and metallic Co. The conversion mechanism of CoSe2 can be summarized as follows:

Discharge process:

 
CoSe2 + xNa+ + xe → NaxCoSe2(1)
 
NaxCoSe2 + (2 − x)Na+ + (2 − x)e → CoSe + Na2Se(2)
 
CoSe + 2Na+ + 2e → Co + Na2Se(3)

Charge process:

 
Co + 2Na2Se → CoSe2 + 4Na+ + 4e(4)

After compositing with graphene, CoPG1, CoPG2 and CoPG3 all exhibit a sharp peak around 0.8 V caused by the activation process and SEI formation (Fig. S2). In the following cycles, the shape of CV is similar to the pure CoSe2 polyhedron, indicating the same conversion mechanism of the composites. Fig. 4A shows the CV comparison of CoSe2, CoPG1, CoPG2 and CoPG3 at the scan rate of 0.5 mV s−1. CoPG3 exhibits the highest peak current among the three composites, and all of them show improved performance compared to the pure CoSe2 polyhedron after incorporating graphene. Correspondingly, the discharge capacity of pure CoSe2 is 572 mAh g−1 (0.05C) in the 2nd cycle with an initial coulombic efficiency (CE) of 83.74% (Fig. S3).


image file: d5dt01923k-f4.tif
Fig. 4 Electrochemical Na ion storage in CoSe2, CoPG1, CoPG2 and CoPG3. (A) CV curves of CoSe2, CoPG1, CoPG2 and CoPG3. (B) Charge/discharge profiles of CoPG3 (0.05C). (C) Charge/discharge profiles of CoSe2, CoPG1, CoPG2 and CoPG3 (0.05C). (D) Rate performances of CoSe2, CoPG1, CoPG2 and CoPG3. (E) Relationship between Z′ and ω−1/2 in the low frequency region of cycled CoSe2, CoPG1, CoPG2 and CoPG3. (F) The cyclability and Coulomb efficiency of CoSe2, CoPG1, CoPG2 and CoPG3 at the current density of 0.5C.

Similarly, CoPG1, CoPG2 and CoPG3 all show low CEs in the 2nd cycle (Fig. S4 and Fig. 4B). Fig. 4C shows the charge/discharge profiles in the 3rd cycle for CoSe2, CoPG1, CoPG2 and CoPG3 (0.05C). CoPG3 shows the highest charge capacity of 565 mAh g−1, while the charge capacities of CoSe2, CoPG1 and CoPG2 are 344, 484 and 476 mAh g−1, respectively. The capacities of CoPG1, CoPG2 and CoPG3 are better than CoSe2 due to the introduction of graphene, which greatly enhanced the conductivity of CoSe2. Fig. S5 shows the electrochemical impedance spectroscopy (EIS) measurements, in which we can see that the CoSe2, CoPG1, CoPG2 and CoPG3 charge-transfer resistance Rct decreased from 209.5, 184.9, 70.87 to 55.75Ω and solution resistance changed from 2.13, 4.45, 4.16 to 1.54Ω. The conductive graphene and CoSe2 polyhedrons are interconnected, enhancing both conductivity and active material utilization ratio by alleviating the aggregation phenomenon. As a result, CoPG3 possesses the highest capacity of all. Fig. 4D displays the rate capabilities of CoSe2, CoPG1, CoPG2 and CoPG3. The capacities of CoPG3 are 565, 507, 485, 448, and 376 mAh g−1 at 0.05C, 0.2C, 0.5C, 1C and 2C, respectively. Even at 5C, CoPG3 shows a capacity of 154 mAh g−1, holding a 27% retention of the capacity at 0.05C. CoPG1 shows a capacity of 294 mAh g−1 at 5C, 60% retention of that at 0.05C. Although inferior at low current rates, CoPG1 exhibits higher capacities than CoPG3 at high current rates, implying the combination of the conductivity and the content of active material should be taken into consideration for applications. The content of active material is dominant if the goal is to achieve high capacities while the conductivity is much more important in high rate applications. Fig. 4E shows that the slope of CoPG3 is obviously less than that of CoSe2, demonstrating the rapid ion diffusion process. CoPG3 shows a lower slope value than CoSe2 due to the introduction of graphene. As the graphene increases, the slope gradually decreases, implying enhanced Na+ transport kinetics. Fig. 4F shows the cyclability of CoSe2 CoPG1, CoPG2 and CoPG3 at the current rate of 0.5C. The capacity of CoPG3 remained at 87% after 100 charge and discharge tests, while the Coulomb efficiency remained almost unchanged. To further explore the structural effects of sodium ion intercalation and extraction on CoPG3, we conducted XRD and SEM analyses of CoPG3 following electrochemical reactions. After the electrochemical reaction, the crystallinity of CoPG3 decreased, although the CoSe2 crystal phase was still preserved (Fig. S6a). Fig. S6b presents the SEM image of CoPG3 after the reaction. Although the morphology underwent slight changes, the stable cycling performance demonstrates that these structural alterations do not result in a loss of active sites.

To further investigate the outstanding rate performance of CoSe2 and the graphene composites as the anode material for SIBs, the contributions of capacitive and diffusion-controlled capacities are separated by a series of CV measurements to study the reaction kinetics during the charge/discharge cycle. Fig. S7 and Fig. 5A display 4 similar series of CV curves of CoSe2, CoPG1, CoPG2 and CoPG3 with the scan rate ranging from 0.5 to 3 mV s−1. According to the peak current and scan rate, they obey the following relationship:

 
i = avb(5)
 
log(i) = b[thin space (1/6-em)]log(v) + log(a)(6)
where a and b are adjustable parameters. When the value of b approaches 0.5, the diffusion-controlled mechanism is dominant in the charge/discharge cycle. While a value of b approximately equalling to 1, indicates the capacitive behavior is prevailing. The b values of reduction peaks (1, 2 and 3) and oxidation peak (4) of CoPG3 are 0.881, 0.867, 0.850 and 0.764, respectively (Fig. 5B). And the b values of CoSe2, CoPG1 and CoPG2 are summarized in Fig. S8, which all approach to 1 indicating the capacitive behavior is dominant. To separate the contributions of capacitive and diffusion-controlled capacities, they can be quantified using the following equation:
 
i = k1v + k2v1/2(7)
where k1v and k2v1/2 are capacitive and diffusion-controlled capacities. As depicted in Fig. 5C, the capacitive contributions of CoPG3 are about 74%, 79%, 83%, 86%, 87% and 86% at the scan rates of 0.5, 1, 1.5, 2, 2.5 and 3 mV s−1, respectively. In addition, Fig. 5D shows the capacitive portion in the total capacity of CoPG3 at the scan rate of 2 mV s−1, which clearly reveals the truth that the capacitive contribution is dominant in the charge/discharge cycle and accounts for the excellent rate capability of CoPG3. Fig. S9 shows the capacitive contributions of CoSe2, CoPG1 and CoPG2. In the comparison we can learn that the introduction of conductive graphene benefits Na+ ion transfer kinetics during sodiation/desodiation, and also builds a conductive network for high rate electron transfer. As the ratio of CoSe2/graphene is increased, the capacity is increased but the rate capability is lowered. This is because more active sites have anchored on the graphene sheet, so that the capacity is increased. More CoSe2 polyhedrons on the graphene, means more amorphous carbon is present leading to a degraded conductivity of the composites. As a result, the rate capability degrades gradually.


image file: d5dt01923k-f5.tif
Fig. 5 The kinetics study of CoPG3. (A) The CV curves of CoPG3 at various scan rates. (B) Determination of the b value using the relationship between peak current and scan rate. (C) The contribution of the diffusion-controlled and capacitive capacities from 0.5 to 3 mV s−1. The dark cyan part stands for capacitive contribution, and light cyan part stands for diffusion-controlled capacity. (D) The ratio of capacitive Na ion storage in the total capacity at the scan rate of 2 mV s−1.

Conclusions

In summary, the CoPG composite material was synthesized using a two-step process, in which CoSe2 was uniformly anchored onto graphene through ultrasonication and subsequent selenization. Benefiting from the incorporation of graphene, the aggregation phenomenon is significantly reduced, thereby enhancing the utilization efficiency of the active material. Moreover, the dual-carbon layer effectively suppresses the dissolution of polyselenides while improving the material's electrical conductivity. The CoPG3 exhibits a high reversible capacity of 565 mAh g−1 at a current density of 0.05C. Moreover, it retains 87% of its initial capacity after 100 cycles at 0.5C, demonstrating excellent cycling stability. The ratio between CoSe2 and graphene stands for the trade-off between capacity and rate capability, which provides a new insight into the relationship between the conductivity and performance of electrode materials for SIBs.

Conflicts of interest

There are no conflicts to declare.

Data availability

The data, including figures and tables that support this article, have been included in the supplementary information (SI). Supplementary information is available. These results include CV curves, charge/discharge profiles, EIS, XRD patterns, SEM image. See DOI: https://doi.org/10.1039/d5dt01923k.

Acknowledgements

This research was financially supported by the Science and Technology Development Project of Jilin Province (20240101105JC), Jilin Province Development and Reform Commission (2024C018-9), Department of Human Resources and Social Security of Jilin Province.

References

  1. S. Sun, Z. Han, W. Liu, Q. Xia, L. Xue, X. Lei, T. Zhai, D. Su and H. Xia, Nat. Commun., 2023, 14, 6662 CrossRef CAS PubMed.
  2. L. Yu, X. He, B. Peng, W. Wang, G. Wan, X. Ma, S. Zeng and G. Zhang, Matter, 2023, 6, 1604–1621 CrossRef CAS.
  3. M. Yuan, H. Liu and F. Ran, Mater. Today, 2023, 63, 360–379 CrossRef CAS.
  4. W. Li, J. H. Wang, H. Y. Yen and M. Liu, Adv. Energy Mater., 2024, 14, 2302735 CrossRef CAS.
  5. T. F. Yi, T. T. Wei, Y. Li, Y. B. He and Z. B. Wang, Energy Storage Mater., 2020, 26, 165–197 CrossRef.
  6. H. W. Wang, J. Z. Fu, C. Wang, J. Y. Wang, A. K. Yang, C. C. Li, Q. F. Sun, Y. Cui and H. Q. Li, Energy Environ. Sci., 2020, 13, 848–858 RSC.
  7. N. Ahmad, L. Yu, M. U. Muzaffar, B. Peng, Z. Tao, S. Khan, A. Rahman, J. Liang, Z. Jiang, X. Ma and G. Zhang, Adv. Energy Mater., 2025, 15, 2404093 CrossRef CAS.
  8. J. Cui, S. S. Yao and J. K. Kim, Energy Storage Mater., 2017, 7, 64–114 CrossRef.
  9. Y. Wang, P. Niu, J. Li, S. Wang and L. Li, Energy Storage Mater., 2021, 34, 436–460 CrossRef.
  10. Z. L. Yu, X. Y. Qu, A. C. Dou, Y. Zhou, M. R. Su and Y. J. Liu, Ceram. Int., 2021, 47, 1758–1765 CrossRef CAS.
  11. G. Li, T. Ouyang, T. Z. Xiong, Z. Jiang, D. Adekoya, Y. Wu, Y. C. Huang and M. S. Balogun, Carbon, 2021, 174, 1–9 CrossRef CAS.
  12. E. Goikolea, V. Palomares, S. J. Wang, I. R. de Larramendi, X. Guo, G. X. Wang and T. Rojo, Adv. Energy Mater., 2020, 10, 2002055 CrossRef CAS.
  13. V. Palomares, N. Nieto and T. Rojo, Curr. Opin. Electrochem., 2022, 31, 100840 CrossRef CAS.
  14. E. Gibertini, F. Liberale, C. Dossi, G. Binda, B. Mattioli, R. Bettinetti, A. Maspero, M. Fiore, R. Ruffo and L. Magagnin, J. Appl. Electrochem., 2021, 51, 1665–1673 CrossRef CAS.
  15. Y. Kim, H. Kim, S. Park, I. Seo and Y. Kim, Electrochim. Acta, 2016, 191, 1–7 CrossRef CAS.
  16. L. Yu, X. He, B. Peng, F. Wang, N. Ahmad, Y. Shen, X. Ma, Z. Tao, J. Liang, Z. Jiang, Z. Diao, B. He, Y. Xie, B. Qing, C. Wang, Y. Wang and G. Zhang, Adv. Funct. Mater., 2024, 34, 2406771 CrossRef CAS.
  17. J. Yang, H. C. Gao, S. Men, Z. Q. Shi, Z. Lin, X. W. Kang and S. W. Chen, Adv. Sci., 2018, 5, 1800763 CrossRef PubMed.
  18. J. J. Ye, X. T. Li, G. Xia, G. H. Gong, Z. Q. Zheng, C. A. Z. Chen and C. Hu, J. Mater. Sci. Technol., 2021, 22, 100–107 CrossRef.
  19. X. Liu, G. B. Xu, T. T. Cheng, L. W. Yang and J. X. Cao, ChemElectroChem, 2020, 7, 846–854 CrossRef CAS.
  20. H. Zhou, X. Li, Y. Li, M. Zheng and H. Pang, Nano–Micro Lett., 2019, 11, 40 CrossRef CAS PubMed.
  21. S. Liu, S. Sarwar, J. Wang, H. Zhang, T. Li, J. Luo and X. Zhang, J. Mater. Chem. C, 2021, 9, 228–237 RSC.
  22. H. Tabassum, C. Zhi, T. Hussain, T. Qiu, W. Aftab and R. Zou, Adv. Energy Mater., 2019, 9, 1901778 CrossRef CAS.
  23. B. Y. Guan, X. Y. Yu, H. B. Wu and X. W. Lou, Adv. Mater., 2017, 29, 1703614 CrossRef.
  24. J. Gao, Y. Li, L. Shi, J. Li and G. Zhang, ACS Appl. Mater. Interfaces, 2018, 10, 20635–20642 CrossRef CAS PubMed.
  25. F. Huang, L. Wang, D. Qin, Z. Xu, M. Jin, Y. Chen, X. Zeng and Z. Dai, ACS Appl. Mater. Interfaces, 2022, 14, 1222–1232 CrossRef CAS PubMed.
  26. Y. Huang, Z. Wang, Y. Jiang, S. Li, Z. Li, H. Zhang, F. Wu, M. Xie, L. Li and R. Chen, Nano Energy, 2018, 53, 524–535 CrossRef CAS.
  27. X. Cheng, D. Li, F. Liu, R. Xu and Y. Yu, Small Methods, 2019, 3, 1800170 CrossRef CAS.
  28. H. Li, D. Gao and X. Cheng, Electrochim. Acta, 2014, 138, 232–239 CrossRef CAS.

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