Investigation of Effect of Heterovalent Element Doping on Ionic Conductivity in Li3InCl6 System Using Neural-network Potential

For the halide solid electrolyte Li3InCl6, which has both high water resistance and high ionic conductivity, doping with different elements to further increase the conductivity is attracting attention. In this study, we investigated co-doping Li3InCl6 with Nb5+ and Zr4+. A pretrained neural-network...

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Bibliographic Details

Published in:	Electrochemistry
Main Authors:	Takeshi USAMI, Koichi GOCHO, Naoto TANIBATA, Hayami TAKEDA, Masanobu NAKAYAMA
Format:	Article
Language:	English
Published:	The Electrochemical Society of Japan 2024-11-01
Subjects:	solid electrolyte neural-network potential chlorides bayes optimization
Online Access:	https://www.jstage.jst.go.jp/article/electrochemistry/92/11/92_24-00088/_html/-char/en