Machine learning in mechanics

IF 3.2 3区 工程技术 Q2 MECHANICS Theoretical and Applied Mechanics Letters Pub Date : 2023-01-01 DOI:10.1016/j.taml.2022.100416
Xiang Yang, Jianchun Wang
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力学中的机器学习
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来源期刊
CiteScore
6.20
自引率
2.90%
发文量
545
审稿时长
12 weeks
期刊介绍: An international journal devoted to rapid communications on novel and original research in the field of mechanics. TAML aims at publishing novel, cutting edge researches in theoretical, computational, and experimental mechanics. The journal provides fast publication of letter-sized articles and invited reviews within 3 months. We emphasize highlighting advances in science, engineering, and technology with originality and rapidity. Contributions include, but are not limited to, a variety of topics such as: • Aerospace and Aeronautical Engineering • Coastal and Ocean Engineering • Environment and Energy Engineering • Material and Structure Engineering • Biomedical Engineering • Mechanical and Transportation Engineering • Civil and Hydraulic Engineering Theoretical and Applied Mechanics Letters (TAML) was launched in 2011 and sponsored by Institute of Mechanics, Chinese Academy of Sciences (IMCAS) and The Chinese Society of Theoretical and Applied Mechanics (CSTAM). It is the official publication the Beijing International Center for Theoretical and Applied Mechanics (BICTAM).
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