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Equivariance is essential, local representation is a need: A comprehensive and critical study of machine learning potentials for tobermorite phases
Zhu, Keming1; Zhang, Zhibin2
2025
发表期刊COMPUTATIONAL MATERIALS SCIENCE
ISSN0927-0256
卷号246页码:14
摘要Machine learning potentials (MLPs), with their combination of high efficiency and accuracy, are increasingly replacing ab initio simulations by directly predicting system energies and forces from atomic structures. However, the validation and application of these MLPs are often limited to small organic molecules. Our aim is to fill the gap in the development and validation of MLPs for Tobermorite 9, 11, and 14 & Aring; by establishing benchmarks that include evaluation metrics corresponding to scientific objectives. Furthermore, we outline the respective strengths and weaknesses of various advanced MLPs when applied to tobermorites and suggest some directions for improvement. This approach provides a pathway to developing dedicated MLPs for high efficiency molecular dynamics simulations at long time scales, suitable for cement-based materials in future studies.
关键词Machine learning potential Tobermorite Density functional theory Molecular dynamics
DOI10.1016/j.commatsci.2024.113363
收录类别SCI
语种英语
WOS研究方向Materials Science
WOS类目Materials Science, Multidisciplinary
WOS记录号WOS:001318088300001
出版者ELSEVIER
引用统计
文献类型期刊论文
条目标识符http://119.78.100.204/handle/2XEOYT63/39588
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Zhu, Keming
作者单位1.Tsinghua Univ, Sch Civil Engn, Beijing 100084, Peoples R China
2.Chinese Acad Sci, Inst Comp Technol, Key Lab Network Data Sci & Technol, Beijing 100190, Peoples R China
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GB/T 7714
Zhu, Keming,Zhang, Zhibin. Equivariance is essential, local representation is a need: A comprehensive and critical study of machine learning potentials for tobermorite phases[J]. COMPUTATIONAL MATERIALS SCIENCE,2025,246:14.
APA Zhu, Keming,&Zhang, Zhibin.(2025).Equivariance is essential, local representation is a need: A comprehensive and critical study of machine learning potentials for tobermorite phases.COMPUTATIONAL MATERIALS SCIENCE,246,14.
MLA Zhu, Keming,et al."Equivariance is essential, local representation is a need: A comprehensive and critical study of machine learning potentials for tobermorite phases".COMPUTATIONAL MATERIALS SCIENCE 246(2025):14.
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