Material Behavior Prediction
Material Behavior Prediction is a computational modeling approach that distinguishes itself by enabling the anticipation of a material's response to external stimuli—such as mechanical, thermal, or environmental loads—through data-driven or physics-informed methods, within the domain of Material-Aware Design.
454
Publications
21.9K
Citations
1.6K
Authors
608
Institutions
Publications per year
2017–2026
215
Parents
454
Machine learning in materials science
Jing Wei, Xuan Chu, Xiangyu Sun et al. · InfoMat · 2019 · 1K citations · Full text
Natural Sciences, Materials Engineering, Materials Science +14
<i>Mechanical Behavior of Materials</i>
F. A. McClintock, A. S. Argon, H. M. Otte · Physics Today · 1967 · 449 citations
1–5 of 454
1.6K
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Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
3 publications · 50 citations
3
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3
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1–5 of 1.6K
608

Centre National de la Recherche Scientifique
Paris, France
12 h-index
24 publications
929 citations
University of Illinois Urbana-Champaign
Urbana, United States
9 h-index
16 publications
2.1K citations
Arts et Métiers
Paris, France
8 h-index
11 publications
448 citations
Massachusetts Institute of Technology
Cambridge, United States
7 h-index
12 publications
1.1K citations
Carnegie Mellon University
Pittsburgh, United States
6 h-index
11 publications
968 citations
RWTH Aachen University
Aachen, Germany
6 h-index
19 publications
718 citations
Indian Institute of Technology Delhi
New Delhi, India
5 h-index
7 publications
155 citations
University of Wisconsin–Madison
Madison, United States
5 h-index
11 publications
426 citations
1–8 of 608
13 publications · 783 citations
11
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9 publications · 499 citations
9
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9 publications · 605 citations
8
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7 publications · 438 citations
7
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6 publications · 218 citations
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