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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?

7 May 2024
Jorge F. Urbán
P. Stefanou
José A. Pons
    PINN
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Papers citing "Unveiling the optimization process of Physics Informed Neural Networks: How accurate and competitive can PINNs be?"

2 / 2 papers shown
Title
Gradient Alignment in Physics-informed Neural Networks: A Second-Order Optimization Perspective
Gradient Alignment in Physics-informed Neural Networks: A Second-Order Optimization Perspective
Sifan Wang
Ananyae Kumar Bhartari
Bowen Li
P. Perdikaris
PINN
54
3
0
02 Feb 2025
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
24
40
0
19 May 2022
1