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A Dual-Dimer Method for Training Physics-Constrained Neural Networks
  with Minimax Architecture

A Dual-Dimer Method for Training Physics-Constrained Neural Networks with Minimax Architecture

1 May 2020
Dehao Liu
Yan Wang
ArXivPDFHTML

Papers citing "A Dual-Dimer Method for Training Physics-Constrained Neural Networks with Minimax Architecture"

5 / 5 papers shown
Title
The Finite Element Neural Network Method: One Dimensional Study
The Finite Element Neural Network Method: One Dimensional Study
Mohammed Abda
Elsa Piollet
Christopher Blake
Frédérick P. Gosselin
56
0
0
21 Jan 2025
Fourier PINNs: From Strong Boundary Conditions to Adaptive Fourier Bases
Fourier PINNs: From Strong Boundary Conditions to Adaptive Fourier Bases
Madison Cooley
Varun Shankar
Robert M. Kirby
Shandian Zhe
22
2
0
04 Oct 2024
Residual-based attention and connection to information bottleneck theory
  in PINNs
Residual-based attention and connection to information bottleneck theory in PINNs
Sokratis J. Anagnostopoulos
Juan Diego Toscano
Nikos Stergiopulos
George Karniadakis
17
20
0
01 Jul 2023
Improved Training of Physics-Informed Neural Networks with Model
  Ensembles
Improved Training of Physics-Informed Neural Networks with Model Ensembles
Katsiaryna Haitsiukevich
Alexander Ilin
PINN
20
23
0
11 Apr 2022
Self-Adaptive Physics-Informed Neural Networks using a Soft Attention
  Mechanism
Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism
L. McClenny
U. Braga-Neto
PINN
13
440
0
07 Sep 2020
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