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Cited by 612

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

Graphene and Graphene‐like Layered Transition Metal Dichalcogenides in Energy Conversion and Storage

Wang, Hua, Feng, Hongbin, Li, Jinghong·2014·Small

Abstract

Being confronted with the energy crisis and environmental problems, the exploration of clean and renewable energy materials as well as their devices are urgently demanded. Two‐dimensional (2D) atomically‐thick materials, graphene and grpahene‐like layered transition metal dichalcogenides (TMDs), have showed vast potential as novel energy materials due to their unique physicochemical properties. In this Review, we outline the typical application of graphene and grpahene‐like TMDs in energy conversion and storage fields, and hope to promote the development of 2D TMDs in this field through the analysis and comparisons with the relatively natural graphene. First, a brief introduction of electronic structures and basic properties of graphene and TMDs are presented. Then, we summarize the exciting progress of these materials made in both energy conversion and storage field including solar cells, electrocatalysis, supercapacitors and lithium ions batteries. Finally, the prospects and further developments in these exciting fields of graphene and graphene‐like TMDs materials are also suggested.

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Metadata

Authors
Wang, H., Feng, H., & Li, J.
Venue
Small
Publisher
Wiley
Published
2014-02-28
Volume
10
Issue
11
Pages
2165-2181
ISSN
  • 1613-6810 (ISSN-L)
  • 1613-6829
OpenAlex
W2160197295
Cited by
612
References
13
FWCI
35.74
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Graphene and Graphene‐like Layered Transition Metal Dichalcogenides in Energy Conversion and Storage. https://app.cochat.ai/papers/10.1002/smll.201303711
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Wang, H., Feng, H., & Li, J. (2014). Graphene and Graphene‐like Layered Transition Metal Dichalcogenides in Energy Conversion and Storage. Small. https://doi.org/10.1002/smll.201303711

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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