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Nanocomposites in energy conversion

  • Yusuf Jameel ORCID logo , Abdul Halim Muhammad Firdaus ORCID logo and Mohd Sapuan Salit ORCID logo EMAIL logo
Published/Copyright: March 10, 2025
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Abstract

Nanocomposites, particularly those based on graphene, exhibit considerable ability in energy storage and conversion due to their unique characteristics and simplicity of manufacturing and functionalization. High carrier mobility, rapid charge recombination rate, along with long-term stability are only a few of these materials exceptional qualities. This chapter provides an outline of the recent advances in the nanocomposites and uses of nanocomposites in the disciplines of energy conversion (solar cells) and storage (supercapacitors). This chapter emphasizes the difficulties in using graphene-based materials in solar cells and super-capacitors. Future studies are also suggested to create innovative methods for the design and synthesis of graphene-based nanocomposites, focussing on functionalization strategies, dispersion techniques, and structural optimization.


Corresponding author: Mohd Sapuan Salit, Advanced Engineering Materials and Composites Research Centre (AEMC), Department of Mechanical and Manufacturing Engineering, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia, E-mail:

Funding source: Puncak RM Sdn. Bhd. Terengganu, Malaysia

Award Identifier / Grant number: V26000

Funding source: Universiti Ptura Malaysia (UPM)

Award Identifier / Grant number: 9742900

Funding source: Malaysia International Scholarship (MIS)

Acknowledgements

The authors would like to thank the editors S.M. Sapuan, Mohd Roshdi Hassan, Eris Elianddy Supeni and Azizan As’arry for their guidance and review of this article before its publication.

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: J. Yusuf: writing – original draft. A.H.M. Firdaus: writing original draft. S.M. Sapuan: supervision. All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The authors state no conflict of interest.

  6. Research funding: The authors wish to thank Puncak RM Sdn. Bhd. Terengganu, Malaysia for providing research grant, under project number V26000. The authors are also thankful to Universiti Ptura Malaysia (UPM) for providing Putra IPS vote number 9742900. The authors want to thank (MOHE) for providing the financial support through Malaysia International Scholarship (MIS).

  7. Data availability: Not applicable.

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Received: 2024-08-27
Accepted: 2025-01-23
Published Online: 2025-03-10

© 2025 Walter de Gruyter GmbH, Berlin/Boston

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