SFETNI / PINNs_MPF--a-Physics-Informed-Neural-Network-for-Multi-Phase-Field-problemsLinks
PINNs-MPF is a comprehensive framework designed for simulating interface dynamics using Physics-Informed Neural Networks (PINNs). Leveraging machine learning techniques, this framework offers an efficient implementation for the multi-phase-field model
☆17Updated 6 months ago
Alternatives and similar repositories for PINNs_MPF--a-Physics-Informed-Neural-Network-for-Multi-Phase-Field-problems
Users that are interested in PINNs_MPF--a-Physics-Informed-Neural-Network-for-Multi-Phase-Field-problems are comparing it to the libraries listed below
Sorting:
- Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network☆18Updated 8 months ago
- Physics-guided neural network framework for elastic plates☆46Updated 3 years ago
- Code of the publication "Physics informed neural networks for continuum micromechanics" published in https://doi.org/10.1016/j.cma.2022.1…☆18Updated 3 years ago
- Physics-informed radial basis network☆32Updated last year
- Yet another PINN implementation☆20Updated last year
- A Jupyter Notebook implementation of Physics-informed neural network to solve solid mechanics problem.☆21Updated 2 years ago
- Soving heat transfer problems using PINN with tf2.0☆20Updated 4 years ago
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Updated 2 years ago
- ☆12Updated this week
- Numerical schemes for the Cahn-Hilliard equation.☆19Updated 8 years ago
- Prediction of Fluid Flow in Porous Media by Sparse Observations and Physics-Informed PointNet☆13Updated last year
- Data preprocess method on Physics-informed neural networks☆22Updated 8 months ago
- Physics-informed neural networks for highly compressible flows 🧠🌊☆27Updated last year
- Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations☆12Updated 3 years ago
- Application of a Physics Informed Neural Network to a two phase flow in porous media problem☆27Updated 6 years ago
- ☆12Updated 2 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…☆13Updated 2 years ago
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆19Updated 2 years ago
- ☆19Updated last year
- Multi-head attention network for airfoil flow field prediction☆15Updated 3 years ago
- Physics-Informed Super-Resolution☆10Updated 2 years ago
- ☆41Updated 3 years ago
- ☆46Updated last year
- PINN for heat transfer problems☆19Updated 4 years ago
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆25Updated 9 months ago
- Implementation of 'Physics-Informed Neural Networks for Shell Structures' (European Journal of Mechanics A)☆44Updated last year
- Machine Learning enhanced CFD solver for incompressible isothermal fluid flow☆16Updated 2 months ago
- XPINN code written in TensorFlow 2☆28Updated 2 years ago
- This repository contains code for data-driven LES of two-dimensional turbulence.☆11Updated 3 years ago
- ☆12Updated 10 months ago