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2006.05311
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Deep learning of free boundary and Stefan problems
4 June 2020
Sizhuang He
P. Perdikaris
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Papers citing
"Deep learning of free boundary and Stefan problems"
13 / 13 papers shown
Title
ANaGRAM: A Natural Gradient Relative to Adapted Model for efficient PINNs learning
Nilo Schwencke
Cyril Furtlehner
66
1
0
14 Dec 2024
Data-Driven Physics-Informed Neural Networks: A Digital Twin Perspective
Sunwoong Yang
Hojin Kim
Y. Hong
K. Yee
R. Maulik
Namwoo Kang
PINN
AI4CE
23
17
0
05 Jan 2024
Multiphysics discovery with moving boundaries using Ensemble SINDy and Peridynamic Differential Operator
A. Bekar
E. Haghighat
E. Madenci
AI4CE
22
2
0
27 Mar 2023
Deep neural network expressivity for optimal stopping problems
Lukas Gonon
11
6
0
19 Oct 2022
Respecting causality is all you need for training physics-informed neural networks
Sizhuang He
Shyam Sankaran
P. Perdikaris
PINN
CML
AI4CE
40
199
0
14 Mar 2022
Scientific Machine Learning through Physics-Informed Neural Networks: Where we are and What's next
S. Cuomo
Vincenzo Schiano Di Cola
F. Giampaolo
G. Rozza
Maizar Raissi
F. Piccialli
PINN
26
1,179
0
14 Jan 2022
One-Shot Transfer Learning of Physics-Informed Neural Networks
Shaan Desai
M. Mattheakis
H. Joy
P. Protopapas
Stephen J. Roberts
PINN
AI4CE
27
58
0
21 Oct 2021
Improved architectures and training algorithms for deep operator networks
Sizhuang He
Hanwen Wang
P. Perdikaris
AI4CE
49
105
0
04 Oct 2021
Applying physics-based loss functions to neural networks for improved generalizability in mechanics problems
Samuel J. Raymond
David B. Camarillo
PINN
AI4CE
36
12
0
30 Apr 2021
Bayesian neural networks for weak solution of PDEs with uncertainty quantification
Xiaoxuan Zhang
K. Garikipati
AI4CE
46
11
0
13 Jan 2021
An overview on deep learning-based approximation methods for partial differential equations
C. Beck
Martin Hutzenthaler
Arnulf Jentzen
Benno Kuckuck
30
146
0
22 Dec 2020
On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks
Sizhuang He
Hanwen Wang
P. Perdikaris
131
438
0
18 Dec 2020
When and why PINNs fail to train: A neural tangent kernel perspective
Sizhuang He
Xinling Yu
P. Perdikaris
33
877
0
28 Jul 2020
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