NanxiiChen / PF-PINNsLinks
PF-PINNs: physics-informed neural networks framework for solving coupled Allen-Cahn and Cahn-Hilliard phase field equations
☆26Updated 10 months ago
Alternatives and similar repositories for PF-PINNs
Users that are interested in PF-PINNs are comparing it to the libraries listed below
Sorting:
- Prediction of Fluid Flow in Porous Media by Sparse Observations and Physics-Informed PointNet☆14Updated last year
- Rheology-informed Machine Learning Projects☆22Updated last year
- The lid-driven cavity is a popular problem within the field of computational fluid dynamics (CFD) for validating computational methods. I…☆15Updated 4 years ago
- PINNs-MPF is a comprehensive framework designed for simulating interface dynamics using Physics-Informed Neural Networks (PINNs). Leverag…☆20Updated 8 months ago
- Soving heat transfer problems using PINN with tf2.0☆20Updated 4 years ago
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆23Updated 3 years ago
- ☆27Updated last year
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- Code for the paper "Deep learning of thermodynamics-aware reduced-order models from data" published in Computer Methods in Applied Mechan…☆14Updated 2 years ago
- Spectral methods in matlab☆12Updated 9 months ago
- Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)☆13Updated last year
- Application of Graph Neural Networks to predict material properties from their microstructures.☆19Updated last year
- The repository contains implementations of examples provided in the literature on energy minimization based approach to Physics Informed …☆11Updated 5 years ago
- SIMPLE Algorithm for Driven Cavity problem on collocated grid using Python.☆25Updated 5 years ago
- Adaptive phase field modeling of fracture using deep energy minimization.☆36Updated 4 years ago
- PINN Implementation for IJCAI paper, "Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activat…☆20Updated last year
- ☆32Updated 3 years ago
- Physics-informed radial basis network☆34Updated last year
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Updated 2 years ago
- ☆13Updated last year
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆37Updated 2 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆36Updated 3 years ago
- Implementation of 'Physics-Informed Neural Networks for Shell Structures' (European Journal of Mechanics A)☆44Updated last year
- ☆15Updated 5 years ago
- Qi ZHANG's simulation code☆11Updated last year
- ML-based Surrogate Models to enhance CFD solvers by solving the Pressure Poisson Equation☆10Updated 10 months ago
- ☆32Updated 3 years ago
- Implementation of a ResUNet-based DeepONet for predicting stress distribution on variable input geometries subject to variable loads. A R…☆18Updated 2 years ago
- XPINN code written in TensorFlow 2☆28Updated 2 years ago
- DeepGreen network written in Tensorflow 2☆30Updated 4 years ago