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Communication-design of LiNi₀.₂Mn₀.₂Co₀.₂Fe₀.₂Ti₀.₂O₂ as a high-entropy cathode for lithium-ion batteries guided by machine learning

From National Research Council Canada

DOIResolve DOI: https://doi.org/10.1149/1945-7111/ac00f4
AuthorSearch for: 1ORCID identifier: https://orcid.org/0000-0001-7037-9210; Search for: 1ORCID identifier: https://orcid.org/0000-0001-7321-1288; Search for: ; Search for: 1
Affiliation
  1. National Research Council Canada. Energy, Mining and Environment
FunderSearch for: Office of Energy Research and Development
FormatText, Article
Abstract
The use of “high-entropy” materials in electrodes is an emerging strategy to improve the stability and electrochemical properties of lithium-ion batteries. This study reports the machine learning-driven discovery of a high-entropy LiNi₀.₂Mn₀.₂Co₀.₂Fe₀.₂Ti₀.₂O₂ layered oxide cathode. Battery testing reveals a good initial capacity (160 mAh g⁻¹ ) with exceptional stability up to 4.4 V. These materials are a promising way to expand the design space of cathode candidates while using inexpensive transition metals. However, further optimization of these materials is needed to improve battery performance relative to traditional cathodes.
Publication date
PublisherIOP
The Electrochemical Society
In
  • Journal of The Electrochemical Society 168, no. 5, 050541 (27 May 2021).
LanguageEnglish
Peer reviewedYes
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Record identifierf0de13bb-4ecb-4838-8f79-fe8377b6ce28
Record created2023-01-05
Record modified2023-01-05
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