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The Deep Ritz Method for Parametric $p$-Dirichlet Problems

The Deep Ritz Method for Parametric ppp-Dirichlet Problems

5 July 2022
A. Kaltenbach
Marius Zeinhofer
ArXivPDFHTML

Papers citing "The Deep Ritz Method for Parametric $p$-Dirichlet Problems"

3 / 3 papers shown
Title
Deep learning for gradient flows using the Brezis-Ekeland principle
Deep learning for gradient flows using the Brezis-Ekeland principle
Laura Carini
Max Jensen
R. Nürnberg
16
0
0
28 Sep 2022
NVIDIA SimNet^{TM}: an AI-accelerated multi-physics simulation framework
NVIDIA SimNet^{TM}: an AI-accelerated multi-physics simulation framework
O. Hennigh
S. Narasimhan
M. A. Nabian
Akshay Subramaniam
Kaustubh Tangsali
M. Rietmann
J. Ferrandis
Wonmin Byeon
Z. Fang
S. Choudhry
PINN
AI4CE
93
126
0
14 Dec 2020
Fourier Neural Operator for Parametric Partial Differential Equations
Fourier Neural Operator for Parametric Partial Differential Equations
Zong-Yi Li
Nikola B. Kovachki
Kamyar Azizzadenesheli
Burigede Liu
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
AI4CE
220
2,287
0
18 Oct 2020
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