Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2002.10558
Cited By
Physics-informed deep learning for incompressible laminar flows
24 February 2020
Chengping Rao
Hao Sun
Yang Liu
PINN
AI4CE
Re-assign community
ArXiv
PDF
HTML
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
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
Yaohua Zang
P. Koutsourelakis
AI4CE
74
1
0
10 Feb 2025
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