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2206.09961
Cited By
Critical Investigation of Failure Modes in Physics-informed Neural Networks
20 June 2022
S. Basir
Inanc Senocak
PINN
AI4CE
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Papers citing
"Critical Investigation of Failure Modes in Physics-informed Neural Networks"
13 / 13 papers shown
Title
Unraveling particle dark matter with Physics-Informed Neural Networks
M.P. Bento
H.B. Câmara
J.F. Seabra
90
0
0
24 Feb 2025
Gaussian Variational Schemes on Bounded and Unbounded Domains
Jonas A. Actor
Anthony Gruber
E. Cyr
Nathaniel Trask
48
0
0
08 Oct 2024
Beyond Derivative Pathology of PINNs: Variable Splitting Strategy with Convergence Analysis
Yesom Park
Changhoon Song
Myungjoo Kang
33
2
0
30 Sep 2024
Robust Neural IDA-PBC: passivity-based stabilization under approximations
Santiago Sanchez-Escalonilla
Samuele Zoboli
B. Jayawardhana
50
1
0
24 Sep 2024
BiLO: Bilevel Local Operator Learning for PDE inverse problems
Ray Zirui Zhang
Xiaohui Xie
John S. Lowengrub
73
2
0
27 Apr 2024
PARCv2: Physics-aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics Modeling
Phong C. H. Nguyen
Xinlun Cheng
Shahab Azarfar
P. Seshadri
Y. Nguyen
Munho Kim
Sanghun Choi
H. Udaykumar
Stephen Seung-Yeob Baek
AI4CE
PINN
50
1
0
19 Feb 2024
Architectural Strategies for the optimization of Physics-Informed Neural Networks
Hemanth Saratchandran
Shin-Fang Chng
Simon Lucey
AI4CE
48
0
0
05 Feb 2024
Approximating Numerical Fluxes Using Fourier Neural Operators for Hyperbolic Conservation Laws
Taeyoung Kim
Myungjoo Kang
AI4CE
30
3
0
03 Jan 2024
An adaptive augmented Lagrangian method for training physics and equality constrained artificial neural networks
S. Basir
Inanc Senocak
PINN
29
5
0
08 Jun 2023
ParticleWNN: a Novel Neural Networks Framework for Solving Partial Differential Equations
Yaohua Zang
Gang Bao
51
4
0
21 May 2023
Investigating and Mitigating Failure Modes in Physics-informed Neural Networks (PINNs)
S. Basir
PINN
AI4CE
38
22
0
20 Sep 2022
Characterizing and Mitigating the Difficulty in Training Physics-informed Artificial Neural Networks under Pointwise Constraints
S. Basir
Inanc Senocak
AI4CE
47
1
0
19 Jun 2022
Lagrangian PINNs: A causality-conforming solution to failure modes of physics-informed neural networks
R. Mojgani
Maciej Balajewicz
Pedram Hassanzadeh
PINN
43
45
0
05 May 2022
1