中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Equivariance is essential, local representation is a need: A comprehensive and critical study of machine learning potentials for tobermorite phases

文献类型:期刊论文

作者Zhu, Keming1; Zhang, Zhibin2
刊名COMPUTATIONAL MATERIALS SCIENCE
出版日期2025
卷号246页码:14
关键词Machine learning potential Tobermorite Density functional theory Molecular dynamics
ISSN号0927-0256
DOI10.1016/j.commatsci.2024.113363
英文摘要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.
WOS研究方向Materials Science
语种英语
WOS记录号WOS:001318088300001
出版者ELSEVIER
源URL[http://119.78.100.204/handle/2XEOYT63/39587]  
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
推荐引用方式
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.

入库方式: OAI收割

来源:计算技术研究所

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