Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems
☆60Dec 7, 2020Updated 5 years ago
Alternatives and similar repositories for sequential_PINN
Users that are interested in sequential_PINN are comparing it to the libraries listed below
Sorting:
- A Jupyter Notebook implementation of Physics-informed neural network to solve solid mechanics problem.☆25May 11, 2023Updated 2 years ago
- ☆21Feb 21, 2024Updated 2 years ago
- Repository for sharing code and data assocaited with En-DeepONet architecture☆35Jan 15, 2024Updated 2 years ago
- The repository contains implementations of examples provided in the literature on energy minimization based approach to Physics Informed …☆11Apr 8, 2020Updated 5 years ago
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆29Apr 14, 2023Updated 2 years ago
- A basic example of using physics informed machine learning for enhanced structural dynamics modeling☆10Jul 7, 2023Updated 2 years ago
- Simplified implementation of locally adaptive activation functions (LAAF) with slope recovery for deep and physics-informed neural networ…☆31Mar 8, 2021Updated 4 years ago
- 🌌 Applications of Physics-Informed ML: A collection of notebooks from my Masters research, exploring how machine learning can solve scie…☆11Nov 9, 2024Updated last year
- ☆17Aug 13, 2024Updated last year
- Code accompanying the manuscript "Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition m…☆16Sep 18, 2023Updated 2 years ago
- Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network☆19Nov 26, 2025Updated 3 months ago
- Investigating PINNs☆730Aug 13, 2021Updated 4 years ago
- This project is divided in a two parts. In first study, Lame parameters are identified using tanh activation function. After that, six a…☆13Nov 17, 2022Updated 3 years ago
- PINN Implementation for IJCAI paper, "Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activat…☆20Jun 19, 2024Updated last year
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆78Aug 4, 2023Updated 2 years ago
- PINN program for computational mechanics☆133Apr 1, 2024Updated last year
- physics-informed neural network for elastodynamics problem☆156Jan 20, 2022Updated 4 years ago
- Physics Informed Neural Network (PINN) for the wave equation.☆202Jul 16, 2020Updated 5 years ago
- A Physics-Informed Neural Network to solve 2D steady-state heat equations.☆172Aug 31, 2025Updated 6 months ago
- The public repository about our joint FINN research project☆38Oct 28, 2022Updated 3 years ago
- ☆168Jun 27, 2022Updated 3 years ago
- ☆24Dec 21, 2023Updated 2 years ago
- Physics-Informed Neural Networks for Solving Multiscale Mode-Resolved Phonon Boltzmann Transport Equation☆22Sep 27, 2021Updated 4 years ago
- A Python toolbox for kinematic earthquake ground motion modelling!☆12Dec 18, 2018Updated 7 years ago
- The conventional theory of mechanism-based strain gradient plasticity is realized via ANSYS user programmable features for USERMAT subrou…☆12May 27, 2024Updated last year
- Official code for AL-PINNS: Augmented Lagrangian relaxation method for Physics-Informed Neural Networks☆12Jul 29, 2023Updated 2 years ago
- Code for paper "Beyond Closure Models: Learning Chaotic Systems via Physics-Informed Neural Operators".☆14Dec 24, 2025Updated 2 months ago
- Mohr Coulomb Model☆15Aug 17, 2021Updated 4 years ago
- Physics-informed neural network for solving fluid dynamics problems☆266Jan 28, 2021Updated 5 years ago
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆69May 8, 2022Updated 3 years ago
- Deep learning library for solving differential equations on top of PyTorch.☆62Jul 30, 2020Updated 5 years ago
- ☆21Sep 28, 2020Updated 5 years ago
- Physics Informed Neural Networks (PINNs) is a machine learning technique that incorporates physical laws and constraints into the neural …☆12Sep 27, 2024Updated last year
- ☆45May 18, 2022Updated 3 years ago
- ☆12Dec 13, 2024Updated last year
- Use of Turbulence Model (Spalart-Allmaras) with PINNs for mean flow reconstruction☆12Mar 13, 2024Updated last year
- Installation and running Abaqus Learning/Student Edition on Linux with Wine☆13Sep 9, 2024Updated last year
- Holding opensource codes about research projects related with ML+numerical methods☆11May 11, 2025Updated 9 months ago
- ☆10Mar 31, 2021Updated 4 years ago