Computational design of stable and highly ion-conductive materials using multi-objective bayesian optimization: Case studies on diffusion of oxygen and lithium-Reference-Cited by-同舟云学术

Computational design of stable and highly ion-conductive materials using multi-objective bayesian optimization: Case studies on diffusion of oxygen and lithium

Published:2020-11 Issue: Volume:184 Page:109927
ISSN:0927-0256
Container-title:Computational Materials Science
language:en
Short-container-title:Computational Materials Science

Author:

Karasuyama Masayuki^ORCID,Kasugai Hiroki,Tamura Tomoyuki,Shitara Kazuki

Funder

Ministry of Education, Culture, Sports, Science and Technology

Japan Science and Technology Agency

Publisher

Elsevier BV

Subject

Computational Mathematics,General Physics and Astronomy,Mechanics of Materials,General Materials Science,General Chemistry,General Computer Science

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3. Enhanced ionic conductivity of titanium doped Li7La3Zr2O12 solid electrolyte;Shao;Electrochim. Acta,2017

4. Growth of self-textured Ga3+-substituted Li7La3Zr2O12 ceramics by solid state reaction and their significant enhancement in ionic conductivity;Qin;Appl. Phys. Lett.,2018

5. The origin of conductivity variations in Al-stabilized Li7La3Zr2O12 ceramics;Wachter-Welzl;Solid State Ionics,2018

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