First-principles materials simulation and design for alkali and alkaline metal ion batteries accelerated by machine learning.

Jin, Lujie; Ji, Yujin; Wang, Hongshuai; Ding, Lifeng; Li, Youyong

Jin, Lujie; Ji, Yujin; Wang, Hongshuai; Ding, Lifeng; Li, Youyong.

Afiliación

Jin L; Institute of Functional Nano & Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials & Devices, Soochow University, Suzhou, Jiangsu 215123, China. yjji@suda.edu.cn.
Ji Y; Institute of Functional Nano & Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials & Devices, Soochow University, Suzhou, Jiangsu 215123, China. yjji@suda.edu.cn.
Wang H; Institute of Functional Nano & Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials & Devices, Soochow University, Suzhou, Jiangsu 215123, China. yjji@suda.edu.cn.
Ding L; Department of Chemistry, Xi'an JiaoTong-Liverpool University, 111 Ren'ai Road, Suzhou Dushu Lake, Higher Education Town, Jiangsu Province 215123, China.
Li Y; Institute of Functional Nano & Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials & Devices, Soochow University, Suzhou, Jiangsu 215123, China. yjji@suda.edu.cn.

Phys Chem Chem Phys ; 23(38): 21470-21483, 2021 Oct 06.

Article en En | MEDLINE | ID: mdl-34570138

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Phys Chem Chem Phys Asunto de la revista: BIOFISICA / QUIMICA Año: 2021 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido

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