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PFNN: A Penalty-Free Neural Network Method for Solving a Class of
  Second-Order Boundary-Value Problems on Complex Geometries

PFNN: A Penalty-Free Neural Network Method for Solving a Class of Second-Order Boundary-Value Problems on Complex Geometries

14 April 2020
H. Sheng
Chao Yang
ArXivPDFHTML

Papers citing "PFNN: A Penalty-Free Neural Network Method for Solving a Class of Second-Order Boundary-Value Problems on Complex Geometries"

4 / 4 papers shown
Title
Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method
Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method
Conor Rowan
K. Maute
Alireza Doostan
AI4CE
33
0
0
08 May 2025
Reliable and Efficient Inverse Analysis using Physics-Informed Neural Networks with Distance Functions and Adaptive Weight Tuning
Reliable and Efficient Inverse Analysis using Physics-Informed Neural Networks with Distance Functions and Adaptive Weight Tuning
Shota Deguchi
Mitsuteru Asai
PINN
AI4CE
76
0
0
25 Apr 2025
A Unified Hard-Constraint Framework for Solving Geometrically Complex
  PDEs
A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs
Songming Liu
Zhongkai Hao
Chengyang Ying
Hang Su
Jun Zhu
Ze Cheng
AI4CE
8
17
0
06 Oct 2022
Exact imposition of boundary conditions with distance functions in
  physics-informed deep neural networks
Exact imposition of boundary conditions with distance functions in physics-informed deep neural networks
N. Sukumar
Ankit Srivastava
PINN
AI4CE
41
240
0
17 Apr 2021
1