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Predictive Limitations of Physics-Informed Neural Networks in Vortex
  Shedding

Predictive Limitations of Physics-Informed Neural Networks in Vortex Shedding

31 May 2023
Pi-Yueh Chuang
L. Barba
    PINN
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Papers citing "Predictive Limitations of Physics-Informed Neural Networks in Vortex Shedding"

4 / 4 papers shown
Title
Practical Aspects on Solving Differential Equations Using Deep Learning: A Primer
Practical Aspects on Solving Differential Equations Using Deep Learning: A Primer
Georgios Is. Detorakis
28
0
0
21 Aug 2024
Weak baselines and reporting biases lead to overoptimism in machine
  learning for fluid-related partial differential equations
Weak baselines and reporting biases lead to overoptimism in machine learning for fluid-related partial differential equations
N. McGreivy
Ammar Hakim
AI4CE
34
43
0
09 Jul 2024
Data-Driven Physics-Informed Neural Networks: A Digital Twin Perspective
Data-Driven Physics-Informed Neural Networks: A Digital Twin Perspective
Sunwoong Yang
Hojin Kim
Y. Hong
K. Yee
R. Maulik
Namwoo Kang
PINN
AI4CE
26
17
0
05 Jan 2024
Automatic Differentiation for Inverse Problems with Applications in
  Quantum Transport
Automatic Differentiation for Inverse Problems with Applications in Quantum Transport
I. Williams
E. Polizzi
18
1
0
18 Jul 2023
1