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
☆13Updated 2 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 3 months ago
- This project is divided in a two parts. In first study, Lame parameters are identified using tanh activation function. After that, six a…☆11Updated 2 years ago
- Soving heat transfer problems using PINN with tf2.0☆19Updated 3 years ago
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Updated 2 years ago
- Physics-guided neural network framework for elastic plates☆40Updated 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…☆16Updated 2 years ago
- ☆19Updated last year
- Computational Homogenization calculation in macroscopic and microscopic structurures. The microscopic BVPs are solved by FFT method. The …☆18Updated last month
- A parallel multi-scale FE2 code based on COMSOL Multi-physics and MATLAB☆17Updated 4 years ago
- Physics-Informed Neural Network (PINN) for Solving Direct and Inverse Heat Conduction Problems☆14Updated 2 years ago
- Second and fourth-order adaptive phase field modeling of fracture using PHT-splines in the framework of IGA.☆50Updated 4 years ago
- Physics-informed neural networks for identifying material properties in solid mechanics☆19Updated last year
- ☆21Updated 7 months ago
- This repo contains matlab code for multiscale finite element method☆48Updated 6 years ago
- A deep energy method (DEM) to solve J2 elastoplasticity problems in 3D.☆20Updated 2 years ago
- Application of a Physics Informed Neural Network to a two phase flow in porous media problem☆26Updated 5 years ago
- The repository contains implementations of examples provided in the literature on energy minimization based approach to Physics Informed …☆11Updated 5 years ago
- Transformed Generative Pre-Trained Physics-Informed Neural Networks (TGPT-PINN), a framework that extends Physics-Informed Neural Network…☆15Updated last year
- Qi ZHANG's simulation code☆11Updated 10 months ago
- An adaptive mesh refinement algorithm for MATLAB☆35Updated 5 years ago
- Physics Informed Neural Networks To Solve Problems In Solid Mechanics☆12Updated last year
- ☆9Updated 7 months ago
- Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)☆10Updated 10 months ago
- Discontinuous Galerkin methods to solve PDE☆14Updated 7 years ago
- Data preprocess method on Physics-informed neural networks☆16Updated 4 months ago
- Finite element modeling of some 2D benchmarks : heat conduction, linear elasticity, dam break flow, viscous fingering in porous media.☆20Updated 5 years ago
- Yet another PINN implementation☆20Updated last year
- ☆40Updated last year
- Deep finite volume method☆22Updated last year
- ☆17Updated 8 months ago