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NSGA-PINN: A Multi-Objective Optimization Method for Physics-Informed
  Neural Network Training

NSGA-PINN: A Multi-Objective Optimization Method for Physics-Informed Neural Network Training

3 March 2023
B.-L. Lu
Christian Moya
Guang Lin
    PINN
ArXivPDFHTML

Papers citing "NSGA-PINN: A Multi-Objective Optimization Method for Physics-Informed Neural Network Training"

2 / 2 papers shown
Title
DAE-PINN: A Physics-Informed Neural Network Model for Simulating
  Differential-Algebraic Equations with Application to Power Networks
DAE-PINN: A Physics-Informed Neural Network Model for Simulating Differential-Algebraic Equations with Application to Power Networks
Christian Moya
Guang Lin
AI4CE
PINN
51
37
0
09 Sep 2021
Physics-informed neural networks with hard constraints for inverse
  design
Physics-informed neural networks with hard constraints for inverse design
Lu Lu
R. Pestourie
Wenjie Yao
Zhicheng Wang
F. Verdugo
Steven G. Johnson
PINN
39
493
0
09 Feb 2021
1