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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Bibliographic Details
Main Authors:	Danesh, Hooman, Di Lorenzo, Daniele, Chinesta, Francisco, Reese, Stefanie, Brepols, Tim
Format:	Preprint
Published:	2024
Subjects:	Computational Engineering, Finance, and Science Machine Learning
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2408.13532