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Morphological impact on energy storage properties of 2D-MoS2 and its nanocomposites: a comprehensive review

  • Atul Yadav , Anil K. Sharma , Jitendra Yadav , Savita Bhasker , Giridhar Mishra , Hari P. Bhasker , Shiv P. Patel , Punit K. Dhawan EMAIL logo and Dhirendra K. Chaudhary ORCID logo EMAIL logo
Published/Copyright: February 20, 2025

Abstract

Two-dimensional transition metal dichalcogenides (TMDCs) stand as pivotal materials with extraordinary physical and chemical properties, showcasing immense potential across various fields including sensors, catalysts, medicine, energy storage, and conversion. Among these, molybdenum disulfide (MoS2), a prominent TMDCs member, has captured considerable attention due to its graphene-like layered structure, small band gap (∼1.8 eV), and superior theoretical capacity relative to graphene. This review paper has meticulously presented an analysis of MoS2 structural properties encompassing various phases 2H (hexagonal), 1T (trigonal), and 3R (rhombohedral) alongside their respective lattice constants. Additionally, diverse synthesis approach like hydrothermal, sol–gel, and solvothermal methods have been discussed. The primary emphasis of this review has been MoS2 applications in energy storage, specifically its role in lithium-ion batteries and supercapacitors. This review underscores the significant impact of MoS2 in advancing energy-related technologies and hints at its potential in catalysts and sensors for medical and energy conversion applications.


Corresponding authors: Punit K. Dhawan, Department of Physics, Prof. Rajendra Singh (Rajju Bhaiya) Institute of Physical Sciences for Study and Research, V. B. S. Purvanchal University, Jaunpur-222003, India, E-mail: ; and Dhirendra K. Chaudhary, Centre for Renewable Energy, Prof. Rajendra Singh (Rajju Bhaiya) Institute of Physical Sciences for Study and Research, V. B. S. Purvanchal University, Jaunpur-222003, India, E-mail:

Funding source: Center of Excellence Grant scheme by the Department of Higher Education Government of Uttar Pradesh

Award Identifier / Grant number: 78/2022/1984/70-4-2022-003-70-4099/7/022

Award Identifier / Grant number: 78/2024/1015/70-4-2024-001-70-4002(002)/4/2023

Award Identifier / Grant number: 9/2022/447/70-4-2022-04(17)/2021

Funding source: Department of Higher Education, UP State Govt.

Award Identifier / Grant number: Research & Development Scheme 23/2023/680/70-4-2023-001-4(59)/2022

Funding source: Council of Science and Technology, Uttar Pradesh

Award Identifier / Grant number: CST/D-829

Award Identifier / Grant number: CST/D-2287

Funding source: University Grants Commission, New Delhi

Award Identifier / Grant number: Start-up grant No. F-30-573/2021(BSR)

Funding source: Department of Science & Technology, New Delhi, India

Award Identifier / Grant number: DST-PURSE scheme (SR/PURSE/2024/230)

Acknowledgment

Authors (PKD & DKC) acknowledge the financial support from Center of Excellence Grant scheme by the Department of Higher Education Government of Uttar Pradesh under (78/2022/1984/70-4-2022-003-70-4099/7/022 dated 24/08/2022, 78/2024/1015/70-4-2024-001-70-4002(002)/4/2023, dated 23/09/2024 and 9/2022/447/70-4-2022-04(17)/2021 dated 15/03/2022). PKD also acknowledges the financial support from Department of Higher Education, UP State Govt. under the Research & Development Scheme (23/2023/680/70-4-2023-001-4(59)/2022, dated 28/03/2023). PKD and DKC also acknowledge the financial support from Council of Science and Technology, Uttar Pradesh (CST/D-829, dated 12/08/2024 and CST/D-2287 dated 02/03/2021) and University Grants Commission, New Delhi for the support under Start-up grant No. F-30-573/2021(BSR) dated 15/06/2022. Authors are also thankful to Department of Science & Technology, New Delhi, India for financial assistance under DST-PURSE scheme (SR/PURSE/2024/230).

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: 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: Department of Higher Education government of Uttar Pradesh Council of Science and Technology, Uttar Pradesh University Grants Commission, New Delhi Department of Science & Technology, New Delhi, India.

  7. Data availability: Not applicable.

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Received: 2024-12-20
Accepted: 2025-01-24
Published Online: 2025-02-20
Published in Print: 2025-04-28

© 2025 Walter de Gruyter GmbH, Berlin/Boston

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