Accelerated Materials Design of Lithium Superionic Conductors Based on First-Principles Calculations and Machine Learning Algorithms-Reference-Cited by-同舟云学术

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Accelerated Materials Design of Lithium Superionic Conductors Based on First-Principles Calculations and Machine Learning Algorithms

Published:2013-04-05 Issue:8 Volume:3 Page:980-985
ISSN:1614-6832
Container-title:Advanced Energy Materials
language:en
Short-container-title:Adv. Energy Mater.

Author:

Fujimura Koji,Seko Atsuto,Koyama Yukinori,Kuwabara Akihide,Kishida Ippei,Shitara Kazuki,Fisher Craig A. J.,Moriwake Hiroki,Tanaka Isao

Publisher

Wiley

Subject

General Materials Science,Renewable Energy, Sustainability and the Environment

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/aenm.201300060/fullpdf

Reference41 articles.

1. Review of crystalline lithium-ion conductors suitable for high temperature battery applications

2. Crystal structure and ionic conductivity of Li14Zn(GeO4)4 and other new Li+ superionic conductors

3. Ionic conductivity of Li14Zn(GeO44 (Lisicon)

4. Transport and dielectric properties of lisicon☆

5. Ionic conductivity of LISICON solid solutions, Li2+2xZn1−xGeO4

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