High-throughput computational design of cathode coatings for Li-ion batteries

Degradation of cathode materials is a key factor hindering the long-term stability of lithium ion batteries. Here, the authors develop a high-throughput computational approach to design effective cathode coating materials, proposing a selection of candidate materials to help improve cathode lifetime...

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Main Authors:	Muratahan Aykol, Soo Kim, Vinay I. Hegde, David Snydacker, Zhi Lu, Shiqiang Hao, Scott Kirklin, Dane Morgan, C. Wolverton
Format:	Article
Language:	English
Published:	Nature Publishing Group 2016-12-01
Series:	Nature Communications
Online Access:	https://doi.org/10.1038/ncomms13779

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spelling	doaj-c1844e81ed5a43938feaa0bfefa206732021-05-11T11:22:12ZengNature Publishing GroupNature Communications2041-17232016-12-017111210.1038/ncomms13779High-throughput computational design of cathode coatings for Li-ion batteriesMuratahan Aykol0Soo Kim1Vinay I. Hegde2David Snydacker3Zhi Lu4Shiqiang Hao5Scott Kirklin6Dane Morgan7C. Wolverton8Department of Materials Science and Engineering, Northwestern UniversityDepartment of Materials Science and Engineering, Northwestern UniversityDepartment of Materials Science and Engineering, Northwestern UniversityDepartment of Materials Science and Engineering, Northwestern UniversityDepartment of Materials Science and Engineering, Northwestern UniversityDepartment of Materials Science and Engineering, Northwestern UniversityDepartment of Materials Science and Engineering, Northwestern UniversityDepartment of Materials Science and Engineering, University of WisconsinDepartment of Materials Science and Engineering, Northwestern UniversityDegradation of cathode materials is a key factor hindering the long-term stability of lithium ion batteries. Here, the authors develop a high-throughput computational approach to design effective cathode coating materials, proposing a selection of candidate materials to help improve cathode lifetimes.https://doi.org/10.1038/ncomms13779
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Muratahan Aykol Soo Kim Vinay I. Hegde David Snydacker Zhi Lu Shiqiang Hao Scott Kirklin Dane Morgan C. Wolverton
spellingShingle	Muratahan Aykol Soo Kim Vinay I. Hegde David Snydacker Zhi Lu Shiqiang Hao Scott Kirklin Dane Morgan C. Wolverton High-throughput computational design of cathode coatings for Li-ion batteries Nature Communications
author_facet	Muratahan Aykol Soo Kim Vinay I. Hegde David Snydacker Zhi Lu Shiqiang Hao Scott Kirklin Dane Morgan C. Wolverton
author_sort	Muratahan Aykol
title	High-throughput computational design of cathode coatings for Li-ion batteries
title_short	High-throughput computational design of cathode coatings for Li-ion batteries
title_full	High-throughput computational design of cathode coatings for Li-ion batteries
title_fullStr	High-throughput computational design of cathode coatings for Li-ion batteries
title_full_unstemmed	High-throughput computational design of cathode coatings for Li-ion batteries
title_sort	high-throughput computational design of cathode coatings for li-ion batteries
publisher	Nature Publishing Group
series	Nature Communications
issn	2041-1723
publishDate	2016-12-01
description	Degradation of cathode materials is a key factor hindering the long-term stability of lithium ion batteries. Here, the authors develop a high-throughput computational approach to design effective cathode coating materials, proposing a selection of candidate materials to help improve cathode lifetimes.
url	https://doi.org/10.1038/ncomms13779
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High-throughput computational design of cathode coatings for Li-ion batteries

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