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Harnessing physics-informed operators for high-dimensional reliability
  analysis problems

Harnessing physics-informed operators for high-dimensional reliability analysis problems

7 September 2024
N Navaneeth
Tushar
Souvik Chakraborty
    AI4CE
ArXivPDFHTML

Papers citing "Harnessing physics-informed operators for high-dimensional reliability analysis problems"

3 / 3 papers shown
Title
Deep Physics Corrector: A physics enhanced deep learning architecture
  for solving stochastic differential equations
Deep Physics Corrector: A physics enhanced deep learning architecture for solving stochastic differential equations
Tushar
S. Chakraborty
27
6
0
20 Sep 2022
Accelerated Training of Physics-Informed Neural Networks (PINNs) using
  Meshless Discretizations
Accelerated Training of Physics-Informed Neural Networks (PINNs) using Meshless Discretizations
Ramansh Sharma
Varun Shankar
27
40
0
19 May 2022
hp-VPINNs: Variational Physics-Informed Neural Networks With Domain
  Decomposition
hp-VPINNs: Variational Physics-Informed Neural Networks With Domain Decomposition
E. Kharazmi
Zhongqiang Zhang
George Karniadakis
107
503
0
11 Mar 2020
1