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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

20 September 2022
Tushar
S. Chakraborty
ArXivPDFHTML

Papers citing "Deep Physics Corrector: A physics enhanced deep learning architecture for solving stochastic differential equations"

3 / 3 papers shown
Title
Harnessing physics-informed operators for high-dimensional reliability
  analysis problems
Harnessing physics-informed operators for high-dimensional reliability analysis problems
N Navaneeth
Tushar
Souvik Chakraborty
AI4CE
32
0
0
07 Sep 2024
MD-NOMAD: Mixture density nonlinear manifold decoder for emulating stochastic differential equations and uncertainty propagation
MD-NOMAD: Mixture density nonlinear manifold decoder for emulating stochastic differential equations and uncertainty propagation
Akshay Thakur
Souvik Chakraborty
24
1
0
24 Apr 2024
An Energy Approach to the Solution of Partial Differential Equations in
  Computational Mechanics via Machine Learning: Concepts, Implementation and
  Applications
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
1,333
0
27 Aug 2019
1