The role of nuclear charges in unifying the descriptions of neural networks (NN)-based force fields
Chu, Xiaolong; Zhang, Yiming; Liu, Zhen; Huang, Qing; Lu, Xiaogang; Chai, Zhifang; Du, Shiyu
刊名MATERIALS LETTERS
2020
卷号276
关键词POTENTIALS
DOI10.1016/j.matlet.2020.128262
英文摘要NN-based force fields development has shown its merit of low cost, accuracy and versatility; where the choice of descriptors plays a central role. In this contribution, descriptors representing atomic environ-ments with/without nuclear charges are employed respectively to construct force fields for three elemen-tal materials Fe, Cr and Al. The descriptions of the force fields can be unified when the nuclear charges are included as one descriptor. This strategy greatly enhance the efficiency of force fields building for differ-ent elemental materials, which is treated as feasible and can be extendable to other types of elemental and multi-elemental materials. (C) 2020 Elsevier B.V. All rights reserved.
学科主题Materials Science ; Physics
内容类型期刊论文
源URL[http://ir.nimte.ac.cn/handle/174433/20465]  
专题2020专题
作者单位1.Zhang, YM
2.Du, SY (corresponding author), Chinese Acad Sci, Ningbo Inst Mat Technol & Engn, 1219 Zhongguan West Rd, Ningbo 31520, Zhejiang, Peoples R China.
推荐引用方式
GB/T 7714
Chu, Xiaolong,Zhang, Yiming,Liu, Zhen,et al. The role of nuclear charges in unifying the descriptions of neural networks (NN)-based force fields[J]. MATERIALS LETTERS,2020,276.
APA Chu, Xiaolong.,Zhang, Yiming.,Liu, Zhen.,Huang, Qing.,Lu, Xiaogang.,...&Du, Shiyu.(2020).The role of nuclear charges in unifying the descriptions of neural networks (NN)-based force fields.MATERIALS LETTERS,276.
MLA Chu, Xiaolong,et al."The role of nuclear charges in unifying the descriptions of neural networks (NN)-based force fields".MATERIALS LETTERS 276(2020).
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