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2104.05512
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One-shot learning for solution operators of partial differential equations
6 April 2021
Priya Kasimbeg
Haiyang He
Rishikesh Ranade
Jay Pathak
Lu Lu
AI4CE
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Papers citing
"One-shot learning for solution operators of partial differential equations"
6 / 6 papers shown
Title
A Bi-fidelity DeepONet Approach for Modeling Uncertain and Degrading Hysteretic Systems
Subhayan De
P. Brewick
24
0
0
25 Apr 2023
Fourier-MIONet: Fourier-enhanced multiple-input neural operators for multiphase modeling of geological carbon sequestration
Zhongyi Jiang
Min Zhu
Dongzhuo Li
Qiuzi Li
Yanhua O. Yuan
Lu Lu
AI4CE
46
49
0
08 Mar 2023
One-Shot Learning of Stochastic Differential Equations with Data Adapted Kernels
Matthieu Darcy
B. Hamzi
Giulia Livieri
H. Owhadi
P. Tavallali
28
25
0
24 Sep 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
18
37
0
03 Apr 2022
Physics-informed neural networks with hard constraints for inverse design
Lu Lu
R. Pestourie
Wenjie Yao
Zhicheng Wang
F. Verdugo
Steven G. Johnson
PINN
39
493
0
09 Feb 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
2,281
0
18 Oct 2020
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