Neural Material: Learning Elastic Constitutive Material and Damping Models from Sparse Data

The accuracy and fidelity of deformation simulations are highly dependent upon the underlying constitutive material model. Commonly used linear or nonlinear constitutive material models only cover a tiny part of possible material behavior. In this work we propose a unified framework for modeling def...

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Hauptverfasser:	Wang, Bin, Kry, Paul, Deng, Yuanmin, Ascher, Uri, Huang, Hui, Chen, Baoquan
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Graphics
Online-Zugang:	Volltext bestellen
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