Micromechanics-based deep-learning for composites: challenges and future perspectives

DOI10.1016/j.euromechsol.2024.105242MaRDI QIDQ6540411

Mohsen Mirkhalaf, I. B. C. M. Rocha

Publication date: 15 May 2024

Published in: European Journal of Mechanics. A. Solids (Search for Journal in Brave)

zbMATH Keywords

artificial neural networkgraph-based learningBayesian machine learningconstitutive surrogate modelingdataset augmentationinverting structure-property mappingrepresentational inductive transfer learning

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Learning and adaptive systems in artificial intelligence (68T05) Micromechanics of solids (74M25) Composite and mixture properties (74E30) Research exposition (monographs, survey articles) pertaining to mechanics of deformable solids (74-02) Numerical and other methods in solid mechanics (74S99)

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