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Physics-informed deep learning for incompressible laminar flows

Physics-informed deep learning for incompressible laminar flows

24 February 2020
Chengping Rao
Hao Sun
Yang Liu
    PINN
    AI4CE
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Papers citing "Physics-informed deep learning for incompressible laminar flows"

3 / 3 papers shown
Title
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
95
0
0
25 Apr 2025
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling
Yaohua Zang
P. Koutsourelakis
AI4CE
74
1
0
10 Feb 2025
Transfer learning enhanced physics informed neural network for
  phase-field modeling of fracture
Transfer learning enhanced physics informed neural network for phase-field modeling of fracture
S. Goswami
C. Anitescu
S. Chakraborty
Timon Rabczuk
PINN
34
602
0
04 Jul 2019
1