Duke-MG-Lab / Allen-Cahn-FNO
Fourier Neural Operators to solve for Allen Cahn PDE equations
☆17Updated 3 years ago
Alternatives and similar repositories for Allen-Cahn-FNO:
Users that are interested in Allen-Cahn-FNO are comparing it to the libraries listed below
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆28Updated 3 years ago
- Discontinuity Computing Using Physics-Informed Neural Network☆23Updated 11 months ago
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆39Updated 2 years ago
- ☆53Updated 2 years ago
- ☆23Updated 8 months ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆25Updated last year
- Multifidelity DeepONet☆30Updated last year
- ☆44Updated 3 months ago
- ☆26Updated 2 years ago
- POD-PINN code and manuscript☆48Updated 4 months ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆76Updated 2 years ago
- Sparse Physics-based and Interpretable Neural Networks☆47Updated 3 years ago
- Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations☆25Updated last year
- Reduced-Order Modeling of Fluid Flows with Transformers☆23Updated last year
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆17Updated last year
- XPINN code written in TensorFlow 2☆27Updated 2 years ago
- ☆19Updated 4 years ago
- Multi-fidelity reduced-order surrogate modeling☆19Updated 3 months ago
- Deep finite volume method☆21Updated 8 months ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆66Updated 2 years ago
- ☆24Updated 2 months ago
- ☆13Updated 2 years ago
- ☆11Updated 2 years ago
- Code for 'Physics-Informed Neural Networks for Shell Structures'☆35Updated 7 months ago
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆16Updated 2 years ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆49Updated 3 years ago
- PDE Preserved Neural Network☆46Updated 8 months ago
- A sequential DeepONet model implementation that uses a recurrent neural network (GRU and LSTM) in the branch and a feed-forward neural ne…☆13Updated 10 months ago
- ☆12Updated last year
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆33Updated 8 months ago