Machine-learning-assisted discovery of boron-doped graphene with high work function as an anode material for Li/Na/K-ion batteries.

Luo, Yi; Chen, Haiyuan; Wang, Jianwei; Niu, Xiaobin

Luo, Yi; Chen, Haiyuan; Wang, Jianwei; Niu, Xiaobin.

Afiliação

Luo Y; School of Materials and Energy, University of Electronic Science and Technology of China, Chengdu 610054, P. R. China. hychen@uestc.edu.cn.
Chen H; School of Materials and Energy, University of Electronic Science and Technology of China, Chengdu 610054, P. R. China. hychen@uestc.edu.cn.
Wang J; School of Materials and Energy, University of Electronic Science and Technology of China, Chengdu 610054, P. R. China. hychen@uestc.edu.cn.
Niu X; School of Materials and Energy, University of Electronic Science and Technology of China, Chengdu 610054, P. R. China. hychen@uestc.edu.cn.

Phys Chem Chem Phys ; 25(17): 12200-12206, 2023 May 03.

Article em En | MEDLINE | ID: mdl-37073673

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Phys Chem Chem Phys Assunto da revista: BIOFISICA / QUIMICA Ano de publicação: 2023 Tipo de documento: Article

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