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Investigations on convergence behaviour of Physics Informed Neural
  Networks across spectral ranges and derivative orders

Investigations on convergence behaviour of Physics Informed Neural Networks across spectral ranges and derivative orders

7 January 2023
Mayank Deshpande
Siddharth Agarwal
V. Snigdha
A. K. Bhattacharya
ArXivPDFHTML

Papers citing "Investigations on convergence behaviour of Physics Informed Neural Networks across spectral ranges and derivative orders"

4 / 4 papers shown
Title
Physics-informed kernel learning
Physics-informed kernel learning
Nathan Doumèche
Francis Bach
Gérard Biau
Claire Boyer
PINN
37
2
0
20 Sep 2024
The Challenges of the Nonlinear Regime for Physics-Informed Neural
  Networks
The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks
Andrea Bonfanti
Giuseppe Bruno
Cristina Cipriani
32
7
0
06 Feb 2024
Constructing Extreme Learning Machines with zero Spectral Bias
Constructing Extreme Learning Machines with zero Spectral Bias
Kaumudi Joshi
V. Snigdha
A. K. Bhattacharya
28
2
0
19 Jul 2023
NVIDIA SimNet^{TM}: an AI-accelerated multi-physics simulation framework
NVIDIA SimNet^{TM}: an AI-accelerated multi-physics simulation framework
O. Hennigh
S. Narasimhan
M. A. Nabian
Akshay Subramaniam
Kaustubh Tangsali
M. Rietmann
J. Ferrandis
Wonmin Byeon
Z. Fang
S. Choudhry
PINN
AI4CE
93
126
0
14 Dec 2020
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