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Machine Learning-Accelerated First-Principles Study of Atomic Configuration and Ionic Diffusion in Li10GeP2S12 Solid Electrolyte 期刊论文
MATERIALS, 2024, 卷号: 17, 期号: 8, 页码: 14./通讯作者：Zhou, Yuwei, Peng, Qing
Authors:  Qi, Changlin;  Zhou, Yuwei;  Yuan XZ(袁晓泽);  Peng Q(彭庆);  Yang, Yong;  Li, Yongwang;  Wen, Xiaodong
Favorite  |  View/Download：126/0  |  Submit date：2024/05/27
Li10GeP2S12 solid electrolyte  first-principles calculation  Ewald-summation-based electrostatic energy  machine learning- and active-learning-based LAsou method  ab initio molecular dynamics