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A Deep Learning Approach for Predicting Two-dimensional Soil
  Consolidation Using Physics-Informed Neural Networks (PINN)

A Deep Learning Approach for Predicting Two-dimensional Soil Consolidation Using Physics-Informed Neural Networks (PINN)

9 April 2022
Yue Lu
Gang Mei
F. Piccialli
    PINNAI4CE
ArXiv (abs)PDFHTML

Papers citing "A Deep Learning Approach for Predicting Two-dimensional Soil Consolidation Using Physics-Informed Neural Networks (PINN)"

3 / 3 papers shown
Title
A Survey of Physics-Informed AI for Complex Urban Systems
A Survey of Physics-Informed AI for Complex Urban Systems
En Xu
Huandong Wang
Yunke Zhang
Sibo Li
Yinzhou Tang
...
Yuming Lin
Yuan Yuan
Xiaochen Fan
Jingtao Ding
Yong Li
AI4CE
14
0
0
09 Jun 2025
Parsimonious Universal Function Approximator for Elastic and
  Elasto-Plastic Cavity Expansion Problems
Parsimonious Universal Function Approximator for Elastic and Elasto-Plastic Cavity Expansion Problems
Xiao-Xuan Chen
Pin Zhang
Hai-Sui Yu
Zhen-Yu Yin
Brian Sheil
50
2
0
08 Jul 2024
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
Biao Yuan
Ana Heitor
He Wang
Xiaohui Chen
AI4CEPINN
75
2
0
08 Jan 2024
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