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Cited by 354

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Graphene Thermal Properties: Applications in Thermal Management and Energy Storage

Open access
Renteria, Jackie, Nika, Denis, Balandin, Alexander·2014·Applied Sciences

Abstract

We review the thermal properties of graphene, few-layer graphene and graphene nanoribbons, and discuss practical applications of graphene in thermal management and energy storage. The first part of the review describes the state-of-the-art in the graphene thermal field focusing on recently reported experimental and theoretical data for heat conduction in graphene and graphene nanoribbons. The effects of the sample size, shape, quality, strain distribution, isotope composition, and point-defect concentration are included in the summary. The second part of the review outlines thermal properties of graphene-enhanced phase change materials used in energy storage. It is shown that the use of liquid-phase-exfoliated graphene as filler material in phase change materials is promising for thermal management of high-power-density battery parks. The reported experimental and modeling results indicate that graphene has the potential to outperform metal nanoparticles, carbon nanotubes, and other carbon allotropes as filler in thermal management materials.

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Metadata

Authors
Renteria, J., Nika, D., & Balandin, A.
Venue
Applied Sciences
Publisher
MDPI AG
Published
2014-11-28
Volume
4
Issue
4
Pages
525-547
ISSN
2076-3417 (ISSN-L)
OpenAlex
W2078206767
Cited by
354
References
6
FWCI
12.66
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Graphene Thermal Properties: Applications in Thermal Management and Energy Storage. https://app.cochat.ai/papers/10.3390/app4040525
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Renteria, J., Nika, D., & Balandin, A. (2014). Graphene Thermal Properties: Applications in Thermal Management and Energy Storage. Applied Sciences. https://doi.org/10.3390/app4040525

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

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.