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Accelerating Physics-Informed Neural Network Training with Prior
  Dictionaries
v1v2 (latest)

Accelerating Physics-Informed Neural Network Training with Prior Dictionaries

17 April 2020
Wei Peng
Weien Zhou
Jun Zhang
Wen Yao
    PINNAI4CE
ArXiv (abs)PDFHTML

Papers citing "Accelerating Physics-Informed Neural Network Training with Prior Dictionaries"

11 / 11 papers shown
Title
Transport-Embedded Neural Architecture: Redefining the Landscape of
  physics aware neural models in fluid mechanics
Transport-Embedded Neural Architecture: Redefining the Landscape of physics aware neural models in fluid mechanics
Amirmahdi Jafari
51
0
0
05 Oct 2024
A Generalizable Physics-informed Learning Framework for Risk Probability
  Estimation
A Generalizable Physics-informed Learning Framework for Risk Probability Estimation
Zhuoyuan Wang
Yorie Nakahira
OOD
57
5
0
10 May 2023
VI-PINNs: Variance-involved Physics-informed Neural Networks for Fast
  and Accurate Prediction of Partial Differential Equations
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
77
3
0
30 Nov 2022
Overview frequency principle/spectral bias in deep learning
Overview frequency principle/spectral bias in deep learning
Z. Xu
Yaoyu Zhang
Yaoyu Zhang
FaML
90
73
0
19 Jan 2022
An extended physics informed neural network for preliminary analysis of
  parametric optimal control problems
An extended physics informed neural network for preliminary analysis of parametric optimal control problems
N. Demo
M. Strazzullo
G. Rozza
PINN
66
36
0
26 Oct 2021
Multi-Objective Loss Balancing for Physics-Informed Deep Learning
Multi-Objective Loss Balancing for Physics-Informed Deep Learning
Rafael Bischof
M. Kraus
PINNAI4CE
110
99
0
19 Oct 2021
A novel meta-learning initialization method for physics-informed neural
  networks
A novel meta-learning initialization method for physics-informed neural networks
Xu Liu
Xiaoya Zhang
Wei Peng
Weien Zhou
Wen Yao
AI4CE
73
76
0
23 Jul 2021
Data vs. Physics: The Apparent Pareto Front of Physics-Informed Neural
  Networks
Data vs. Physics: The Apparent Pareto Front of Physics-Informed Neural Networks
Franz M. Rohrhofer
S. Posch
C. Gößnitzer
Bernhard C. Geiger
PINN
121
39
0
03 May 2021
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
PINNAI4CE
146
130
0
14 Dec 2020
Active Training of Physics-Informed Neural Networks to Aggregate and
  Interpolate Parametric Solutions to the Navier-Stokes Equations
Active Training of Physics-Informed Neural Networks to Aggregate and Interpolate Parametric Solutions to the Navier-Stokes Equations
Christopher J. Arthurs
A. King
PINN
152
52
0
02 May 2020
Integrating Scientific Knowledge with Machine Learning for Engineering
  and Environmental Systems
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems
J. Willard
X. Jia
Shaoming Xu
M. Steinbach
Vipin Kumar
AI4CE
158
414
0
10 Mar 2020
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