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Improved Surrogate Modeling of Fluid Dynamics with Physics-Informed
  Neural Networks

Improved Surrogate Modeling of Fluid Dynamics with Physics-Informed Neural Networks

5 May 2021
Jian Cheng Wong
C. Ooi
P. Chiu
M. Dao
    PINN
    AI4CE
ArXivPDFHTML

Papers citing "Improved Surrogate Modeling of Fluid Dynamics with Physics-Informed Neural Networks"

2 / 2 papers shown
Title
Improving deep learning with prior knowledge and cognitive models: A
  survey on enhancing explainability, adversarial robustness and zero-shot
  learning
Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial robustness and zero-shot learning
F. Mumuni
A. Mumuni
AAML
37
5
0
11 Mar 2024
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and
  Inverse PDE Problems with Noisy Data
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data
Liu Yang
Xuhui Meng
George Karniadakis
PINN
183
760
0
13 Mar 2020
1