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Predicting stress, strain and deformation fields in materials and structures with graph neural networks

Developing accurate yet fast computational tools to simulate complex physical phenomena is a long-standing problem. Recent advances in machine learning have revolutionized the way simulations are approached, shifting from a purely physics- to AI-based paradigm. Although impressive achievements have...

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Detalles Bibliográficos
Autores principales: Maurizi, Marco, Gao, Chao, Berto, Filippo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9759553/
https://www.ncbi.nlm.nih.gov/pubmed/36528676
http://dx.doi.org/10.1038/s41598-022-26424-3

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