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Accelerated Training of Physics-Informed Neural Networks (PINNs) using
  Meshless Discretizations

Accelerated Training of Physics-Informed Neural Networks (PINNs) using Meshless Discretizations

19 May 2022
Ramansh Sharma
Varun Shankar
ArXivPDFHTML

Papers citing "Accelerated Training of Physics-Informed Neural Networks (PINNs) using Meshless Discretizations"

4 / 4 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
38
0
0
07 Sep 2024
Unveiling the optimization process of Physics Informed Neural Networks:
  How accurate and competitive can PINNs be?
Unveiling the optimization process of Physics Informed Neural Networks: How accurate and competitive can PINNs be?
Jorge F. Urbán
P. Stefanou
José A. Pons
PINN
45
6
0
07 May 2024
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for
  Machine Learning and Process-based Hydrology
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology
Qingsong Xu
Yilei Shi
Jonathan Bamber
Ye Tuo
Ralf Ludwig
Xiao Xiang Zhu
AI4CE
20
10
0
08 Oct 2023
EPINN-NSE: Enhanced Physics-Informed Neural Networks for Solving
  Navier-Stokes Equations
EPINN-NSE: Enhanced Physics-Informed Neural Networks for Solving Navier-Stokes Equations
Ayoub Farkane
Mounir Ghogho
M. Oudani
M. Boutayeb
PINN
25
5
0
07 Apr 2023
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