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2211.03241
Cited By
Neural PDE Solvers for Irregular Domains
7 November 2022
Biswajit Khara
Ethan Herron
Zhanhong Jiang
Aditya Balu
Chih-Hsuan Yang
K. Saurabh
Anushrut Jignasu
S. Sarkar
C. Hegde
A. Krishnamurthy
Baskar Ganapathysubramanian
AI4CE
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Papers citing
"Neural PDE Solvers for Irregular Domains"
7 / 7 papers shown
Title
Physics informed cell representations for variational formulation of multiscale problems
Yuxiang Gao
Soheil Kolouri
R. Duddu
AI4CE
29
0
0
27 May 2024
Spline-PINN: Approaching PDEs without Data using Fast, Physics-Informed Hermite-Spline CNNs
Nils Wandel
Michael Weinmann
Michael Neidlin
Reinhard Klein
AI4CE
55
59
0
15 Sep 2021
SPINN: Sparse, Physics-based, and partially Interpretable Neural Networks for PDEs
A. A. Ramabathiran
P. Ramachandran
PINN
AI4CE
27
76
0
25 Feb 2021
Algorithmically-Consistent Deep Learning Frameworks for Structural Topology Optimization
Jaydeep Rade
Aditya Balu
Ethan Herron
Jay Pathak
Rishikesh Ranade
S. Sarkar
A. Krishnamurthy
23
42
0
09 Dec 2020
hp-VPINNs: Variational Physics-Informed Neural Networks With Domain Decomposition
E. Kharazmi
Zhongqiang Zhang
George Karniadakis
125
508
0
11 Mar 2020
An Energy Approach to the Solution of Partial Differential Equations in Computational Mechanics via Machine Learning: Concepts, Implementation and Applications
E. Samaniego
C. Anitescu
S. Goswami
Vien Minh Nguyen-Thanh
Hongwei Guo
Khader M. Hamdia
Timon Rabczuk
X. Zhuang
PINN
AI4CE
145
1,339
0
27 Aug 2019
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark W. Schmidt
133
1,198
0
16 Aug 2016
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