Data-driven forward and inverse analysis of two-dimensional soil consolidation using physics-informed neural network

This publication has 35 references indexed in Scilit:

• Data-driven analysis of soil consolidation with prefabricated vertical drains considering stratigraphic variation
  Computers and Geotechnics, 2023
• Application of Physics-Informed Neural Networks for forward and inverse analysis of pile–soil interaction
  International Journal of Solids and Structures, 2023
• Physics-informed deep learning method for predicting tunnelling-induced ground deformations
  Acta Geotechnica, 2023
• Physics-informed neural network for modelling the thermochemical curing process of composite-tool systems during manufacture
  Computer Methods in Applied Mechanics and Engineering, 2021
• SciANN: A Keras/TensorFlow wrapper for scientific computations and physics-informed deep learning using artificial neural networks
  Computer Methods in Applied Mechanics and Engineering, 2021
• Conservative physics-informed neural networks on discrete domains for conservation laws: Applications to forward and inverse problems
  Computer Methods in Applied Mechanics and Engineering, 2020
• Physics-informed neural networks for high-speed flows
  Computer Methods in Applied Mechanics and Engineering, 2020
• Against Interpretability: a Critical Examination of the Interpretability Problem in Machine Learning
  Philosophy & Technology, 2019
• Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
  Journal of Computational Physics, 2019
• Introduction to Keras
  2017