Buchumschlag

FFT-based surrogate modeling of auxetic metamaterials with real-time prediction of effective elastic properties and swift inverse design

Fuente: arXiv

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Bibliographische Detailangaben
Hauptverfasser:	Danesh, Hooman, Di Lorenzo, Daniele, Chinesta, Francisco, Reese, Stefanie, Brepols, Tim
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Computational Engineering, Finance, and Science Machine Learning
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

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