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2004.08151
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Accelerating Physics-Informed Neural Network Training with Prior Dictionaries
17 April 2020
Wei Peng
Weien Zhou
Jun Zhang
Wen Yao
PINN
AI4CE
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Papers citing
"Accelerating Physics-Informed Neural Network Training with Prior Dictionaries"
19 / 19 papers shown
Adaptive Physics-informed Neural Networks: A Survey
Edgar Torres
Jonathan Schiefer
Mathias Niepert
PINN
AI4CE
339
7
0
23 Mar 2025
Transport-Embedded Neural Architecture: Redefining the Landscape of physics aware neural models in fluid mechanics
Amirmahdi Jafari
258
0
0
05 Oct 2024
Up-sampling-only and Adaptive Mesh-based GNN for Simulating Physical Systems
Fu Lin
Jiasheng Shi
Shijie Luo
Qinpei Zhao
Weixiong Rao
Lei Chen
AI4CE
143
3
0
07 Sep 2024
Generalizable Physics-Informed Learning for Stochastic Safety-Critical Systems
Zhuoyuan Wang
Albert Chern
Yorie Nakahira
501
4
0
11 Jul 2024
MultiAdam: Parameter-wise Scale-invariant Optimizer for Multiscale Training of Physics-informed Neural Networks
International Conference on Machine Learning (ICML), 2023
J. Yao
Yan Yu
Zhongkai Hao
Songming Liu
Hang Su
Jun Zhu
ODL
PINN
AI4CE
193
23
0
05 Jun 2023
A Generalizable Physics-informed Learning Framework for Risk Probability Estimation
Conference on Learning for Dynamics & Control (L4DC), 2023
Zhuoyuan Wang
Yorie Nakahira
OOD
206
8
0
10 May 2023
VI-PINNs: Variance-involved Physics-informed Neural Networks for Fast and Accurate Prediction of Partial Differential Equations
Bin Shan
Ye Li
Sheng-Jun Huang
PINN
204
11
0
30 Nov 2022
Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications
Zhongkai Hao
Songming Liu
Yichi Zhang
Chengyang Ying
Yao Feng
Hang Su
Jun Zhu
PINN
AI4CE
442
164
0
15 Nov 2022
AMS-Net: Adaptive Multiscale Sparse Neural Network with Interpretable Basis Expansion for Multiphase Flow Problems
Multiscale Modeling & simulation (MMS), 2022
Yating Wang
W. Leung
Guang Lin
185
2
0
24 Jul 2022
Physical Activation Functions (PAFs): An Approach for More Efficient Induction of Physics into Physics-Informed Neural Networks (PINNs)
Neurocomputing (Neurocomputing), 2022
J. Abbasi
Paal Ostebo Andersen
PINN
AI4CE
314
42
0
29 May 2022
Overview frequency principle/spectral bias in deep learning
Communication on Applied Mathematics and Computation (CAMC), 2022
Z. Xu
Yaoyu Zhang
Yaoyu Zhang
FaML
512
137
0
19 Jan 2022
An extended physics informed neural network for preliminary analysis of parametric optimal control problems
N. Demo
M. Strazzullo
G. Rozza
PINN
251
53
0
26 Oct 2021
Multi-Objective Loss Balancing for Physics-Informed Deep Learning
Rafael Bischof
M. Kraus
PINN
AI4CE
508
201
0
19 Oct 2021
A novel meta-learning initialization method for physics-informed neural networks
Xu Liu
Xiaoya Zhang
Wei Peng
Weien Zhou
Wen Yao
AI4CE
170
96
0
23 Jul 2021
An Upper Limit of Decaying Rate with Respect to Frequency in Deep Neural Network
Mathematical and Scientific Machine Learning (MSML), 2021
Yaoyu Zhang
Zheng Ma
Zhiwei Wang
Z. Xu
Yaoyu Zhang
354
5
0
25 May 2021
Data vs. Physics: The Apparent Pareto Front of Physics-Informed Neural Networks
IEEE Access (IEEE Access), 2021
Franz M. Rohrhofer
S. Posch
C. Gößnitzer
Bernhard C. Geiger
PINN
492
53
0
03 May 2021
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
289
137
0
14 Dec 2020
Active Training of Physics-Informed Neural Networks to Aggregate and Interpolate Parametric Solutions to the Navier-Stokes Equations
Journal of Computational Physics (JCP), 2020
Christopher J. Arthurs
A. King
PINN
378
70
0
02 May 2020
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems
ACM Computing Surveys (ACM CSUR), 2020
J. Willard
X. Jia
Shaoming Xu
M. Steinbach
Vipin Kumar
AI4CE
826
599
0
10 Mar 2020
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