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A spatiotemporal deep learning framework for prediction of crack dynamics in heterogeneous solids: efficient mapping of concrete microstructures to its fracture properties

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Koopas, Rasoul Najafi, Rezaei, Shahed, Rauter, Natalie, Ostwald, Richard, Lammering, Rolf
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computational Engineering, Finance, and Science Machine Learning
Accesso online:	Acceder al recurso
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