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Cited by 545

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

First principles computational materials design for energy storage materials in lithium ion batteries

Meng, Ying Shirley, Arroyo-de Dompablo, M. Elena·2009·Energy & Environmental Science

Abstract

First principles computation methods play an important role in developing and optimizing new energy storage and conversion materials. In this review, we present an overview of the computation approach aimed at designing better electrode materials for lithium ion batteries. Specifically, we show how each relevant property can be related to the structural component in the material and can be computed from first principles. By direct comparison with experimental observations, we hope to illustrate that first principles computation can help to accelerate the design and development of new energy storage materials.

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Metadata

Authors
Meng, Y. S., & Arroyo-de Dompablo, M. E.
Venue
Energy & Environmental Science
Published
2009
Volume
2
Issue
6
Pages
589
ISSN
  • 1754-5692 (ISSN-L)
  • 1754-5706
OpenAlex
W2058082286
Cited by
545
References
5
FWCI
11.88
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: First principles computational materials design for energy storage materials in lithium ion batteries. https://app.cochat.ai/papers/10.1039/b901825e
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Meng, Y. S., & Arroyo-de Dompablo, M. E. (2009). First principles computational materials design for energy storage materials in lithium ion batteries. Energy & Environmental Science. https://doi.org/10.1039/b901825e

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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.