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2111.03794
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Physics-Informed Neural Operator for Learning Partial Differential Equations
6 November 2021
Zong-Yi Li
Hongkai Zheng
Nikola B. Kovachki
David Jin
Haoxuan Chen
Burigede Liu
Kamyar Azizzadenesheli
Anima Anandkumar
AI4CE
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Papers citing
"Physics-Informed Neural Operator for Learning Partial Differential Equations"
17 / 217 papers shown
Title
Generic bounds on the approximation error for physics-informed (and) operator learning
Tim De Ryck
Siddhartha Mishra
PINN
59
59
0
23 May 2022
Generative Adversarial Neural Operators
Md Ashiqur Rahman
Manuel A. Florez
Anima Anandkumar
Zachary E. Ross
Kamyar Azizzadenesheli
GAN
12
34
0
06 May 2022
Evolving Generalizable Multigrid-Based Helmholtz Preconditioners with Grammar-Guided Genetic Programming
J. Schmitt
Harald Kostler
AI4CE
17
0
0
27 Apr 2022
Competitive Physics Informed Networks
Qi Zeng
Yash Kothari
Spencer H. Bryngelson
F. Schafer
PINN
13
20
0
23 Apr 2022
Bi-fidelity Modeling of Uncertain and Partially Unknown Systems using DeepONets
Subhayan De
Matthew J. Reynolds
M. Hassanaly
Ryan N. King
Alireza Doostan
AI4CE
8
37
0
03 Apr 2022
Physics-constrained Unsupervised Learning of Partial Differential Equations using Meshes
M. Michelis
Robert K. Katzschmann
AI4CE
19
1
0
30 Mar 2022
Learned coupled inversion for carbon sequestration monitoring and forecasting with Fourier neural operators
Ziyi Yin
Ali Siahkoohi
M. Louboutin
Felix J. Herrmann
25
17
0
27 Mar 2022
Applications of physics informed neural operators
S. Rosofsky
Hani Al Majed
Eliu A. Huerta
PINN
AI4CE
17
39
0
23 Mar 2022
Respecting causality is all you need for training physics-informed neural networks
Sifan Wang
Shyam Sankaran
P. Perdikaris
PINN
CML
AI4CE
25
198
0
14 Mar 2022
Local neural operator for solving transient partial differential equations on varied domains
Hongyu Li
Ximeng Ye
Pengjie Jiang
G. Qin
Tiejun Wang
AI4CE
6
6
0
11 Mar 2022
FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators
Jaideep Pathak
Shashank Subramanian
P. Harrington
S. Raja
A. Chattopadhyay
...
Zong-Yi Li
Kamyar Azizzadenesheli
P. Hassanzadeh
K. Kashinath
Anima Anandkumar
AI4Cl
44
636
0
22 Feb 2022
Spectrally Adapted Physics-Informed Neural Networks for Solving Unbounded Domain Problems
Mingtao Xia
Lucas Böttcher
T. Chou
8
19
0
06 Feb 2022
Tutorial on amortized optimization
Brandon Amos
OffRL
70
42
0
01 Feb 2022
AI for Closed-Loop Control Systems -- New Opportunities for Modeling, Designing, and Tuning Control Systems
Julius Schöning
A. Riechmann
H. Pfisterer
AI4CE
16
13
0
18 Jan 2022
An extended physics informed neural network for preliminary analysis of parametric optimal control problems
N. Demo
M. Strazzullo
G. Rozza
PINN
16
33
0
26 Oct 2021
Learning Green's Functions of Linear Reaction-Diffusion Equations with Application to Fast Numerical Solver
Yuankai Teng
Xiaoping Zhang
Zhu Wang
L. Ju
8
14
0
23 May 2021
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
203
2,272
0
18 Oct 2020
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