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Physics-informed Deep Learning to Solve Three-dimensional Terzaghi
  Consolidation Equation: Forward and Inverse Problems

Physics-informed Deep Learning to Solve Three-dimensional Terzaghi Consolidation Equation: Forward and Inverse Problems

8 January 2024
Biao Yuan
Ana Heitor
He Wang
Xiaohui Chen
    AI4CE
    PINN
ArXivPDFHTML

Papers citing "Physics-informed Deep Learning to Solve Three-dimensional Terzaghi Consolidation Equation: Forward and Inverse Problems"

2 / 2 papers shown
Title
Parallel Physics-Informed Neural Networks via Domain Decomposition
Parallel Physics-Informed Neural Networks via Domain Decomposition
K. Shukla
Ameya Dilip Jagtap
George Karniadakis
PINN
101
274
0
20 Apr 2021
A disciplined approach to neural network hyper-parameters: Part 1 --
  learning rate, batch size, momentum, and weight decay
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay
L. Smith
193
1,019
0
26 Mar 2018
1