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Computational Insights into Charge Storage Mechanisms of Supercapacitors

Authors: Xu, Kui; Shao, Hui; Lin, Zifeng; Merlet, Céline; Feng, Guang; Zhu, Jixin; Simon, Patrice;

Computational Insights into Charge Storage Mechanisms of Supercapacitors

Abstract

Computational modeling methods, including molecular dynamics (MD) and Monte Carlo (MC) simulations, and density functional theory (DFT), are receiving booming interests for exploring charge storage mechanisms of electrochemical energy storage devices. These methods can effectively be used to obtain molecular scale local information or provide clear explanations for novel experimental findings that cannot be directly interpreted through experimental investigations. This short review is dedicated to emphasizing recent advances in computational simulation methods for exploring the charge storage mechanisms in typical nanoscale materials, such as nanoporous carbon materials, 2D MXene materials, and metal‐organic framework electrodes. Beyond a better understanding of charge storage mechanisms and experimental observations, fast and accurate enough models would be helpful to provide theoretical guidance and experimental basis for the design of new high‐performance electrochemical energy storage devices.

Country
France
Keywords

Supercapacitor, Matériaux, 2D material, Porous electrode, 541, [CHIM.THEO]Chemical Sciences/Theoretical and/or physical chemistry, [CHIM.THEO] Chemical Sciences/Theoretical and/or physical chemistry, Charge storage mechanism, Molecular simulations

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
73
Top 1%
Top 10%
Top 1%
21
14
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bronze