Efficient Training of the Machine-Learning Interatomic Potential Based on an Artificial Neural Network for Estimating the Helmholtz Free Energy of Alkali Metals
Efficient Training of the Machine-Learning Interatomic Potential Based on an Artificial Neural Network for Estimating the Helmholtz Free Energy of Alkali Metals
复制标题
基于人工神经网络的机器学习原子间势的有效训练，用于估计碱金属的亥姆霍兹自由能
DOI：
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发表时间：
2023
影响因子：
1.7
通讯作者：
Shimojo Fuyuki
中科院分区：
文献类型：
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作者：
Fukushima Shogo;Shimamura Kohei;Koura Akihide;Shimojo Fuyuki
