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Cited by 170

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Electronic Structure Modeling of Electrochemical Reactions at Electrode/Electrolyte Interfaces in Lithium Ion Batteries

Open access
Leung, Kevin·2013·The Journal of Physical Chemistry C

Abstract

We review recent ab initio molecular dynamics studies of electrode/electrolyte interfaces in lithium ion batteries. Our goals are to introduce experimentalists to simulation techniques applicable to models which are arguably most faithful to experimental conditions so far, and to emphasize to theorists that the inherently interdisciplinary nature of this subject requires bridging the gap between solid and liquid state perspectives. We consider liquid ethylene carbonate (EC) decomposition on lithium intercalated graphite, lithium metal, oxide-coated graphite, and spinel manganese oxide surfaces. These calculations are put in the context of more widely studied water–solid interfaces. Our main themes include kinetically controlled two-electron-induced reactions, the breaking of a previously much neglected chemical bond in EC, and electron tunneling. Future work on modeling batteries at atomic length scales requires capabilities beyond state-of-the-art, which emphasizes that applied battery research can and should drive fundamental science development.

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Crossref · 10.1021/jp308929a

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Metadata

Authors
Leung, K.
Venue
The Journal of Physical Chemistry C
Published
2012-12-13
Volume
117
Issue
4
Pages
1539-1547
ISSN
  • 1932-7447 (ISSN-L)
  • 1932-7455
OpenAlex
W2950270308
Cited by
170
References
1
FWCI
7.94
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Electronic Structure Modeling of Electrochemical Reactions at Electrode/Electrolyte Interfaces in Lithium Ion Batteries. https://app.cochat.ai/papers/10.1021/jp308929a
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Leung, K. (2013). Electronic Structure Modeling of Electrochemical Reactions at Electrode/Electrolyte Interfaces in Lithium Ion Batteries. The Journal of Physical Chemistry C. https://doi.org/10.1021/jp308929a

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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.