Fourier Neural Operators to solve for Allen Cahn PDE equations
☆20Jan 17, 2022Updated 4 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. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Fourier Neural Operator☆13May 24, 2023Updated 3 years ago
- Allen-Cahn Equation☆16Feb 20, 2023Updated 3 years ago
- U-FNO - an enhanced Fourier neural operator-based deep-learning model for multiphase flow☆178Sep 6, 2024Updated last year
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆35Apr 7, 2024Updated 2 years ago
- ☆11Jul 21, 2023Updated 3 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Implementation of Physics-Informed PointNet (PIPN) for weakly-supervised learning of 2D linear elasticity (plane stress) on multiple sets…☆13Apr 11, 2024Updated 2 years ago
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆16Feb 17, 2021Updated 5 years ago
- This is the implementation of the RecFNO.☆27Feb 21, 2023Updated 3 years ago
- This is the implementation of the PI-UNet for HSL-TFP☆29Feb 19, 2023Updated 3 years ago
- Training neural networks to disentangle conservative and dissipative dynamics☆14Jan 27, 2022Updated 4 years ago
- Solving a class of elliptic partial differential equations(PDEs) with multiple scales utilizing Fourier-based mixed physics informed neur…☆15Apr 12, 2024Updated 2 years ago
- ☆21Jan 12, 2023Updated 3 years ago
- Transformer and Neural Operator for solving Stochastic PDE☆12May 22, 2022Updated 4 years ago
- Learning two-phase microstructure evolution using neural operators and autoencoder architectures☆26Apr 25, 2024Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Gaussian process-based interpretable latent space dynamics identification through deep autoencoder☆37Jul 6, 2026Updated 2 weeks ago
- The iterative convolution-thresholding method (ICTM)☆11Mar 6, 2020Updated 6 years ago
- Code for paper "Beyond Closure Models: Learning Chaotic Systems via Physics-Informed Neural Operators".☆16Dec 24, 2025Updated 7 months ago
- Clone of Ian M. Mitchell's ToolboxLS repository. (https://bitbucket.org/ian_mitchell/toolboxls)☆14Jan 18, 2020Updated 6 years ago
- Integrating Neural Ordinary Differential Equations, the Method of Lines, and Graph Neural Networks☆17Oct 29, 2023Updated 2 years ago
- A two-dimensional multiphase solver based on incompressible Navier-Stokes and conservative Allen-Cahn equations☆17Oct 31, 2017Updated 8 years ago
- ☆16May 13, 2026Updated 2 months ago
- Solving elliptic differential equations using neural networks in plasma fluid simulations. Mirror repository of https://gitlab.com/cerfac…☆14May 6, 2022Updated 4 years ago
- The lid-driven cavity is a popular problem within the field of computational fluid dynamics (CFD) for validating computational methods. I…☆16Dec 14, 2021Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Level set modeling of multi-phase flow in a velocity field using the finite element and finite volume methods☆34Feb 5, 2019Updated 7 years ago
- Physics Informed Fourier Neural Operator☆31Nov 21, 2024Updated last year
- Applied symbolic regression with deep reinforcement learning to improve model interpretability and refine correlations in gas-solid flow …☆13Nov 19, 2024Updated last year
- ☆15Dec 18, 2023Updated 2 years ago
- Create Your Own Finite Volume Fluid Simulation (With Python) Part 2: Boundary Conditions and Source Terms☆32May 8, 2025Updated last year
- 这是一个基于 Python 有限元理论，算法与应用的仓库☆14Oct 18, 2019Updated 6 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆37Feb 4, 2022Updated 4 years ago
- A scalable reinforcement learning framework for CFD on HPC systems☆36Apr 18, 2025Updated last year
- A python script to solve the Cahn-Hilliard equation using an implicit pseudospectral method☆55Jul 17, 2024Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- The DynaGen model allows the prediction of dynamical field data based on microstructure input. The model is exemplified to dynamic fractu…☆12Mar 17, 2023Updated 3 years ago
- randomized QB factorization for fixed-precision low-rank matrix approximation☆14Apr 23, 2023Updated 3 years ago
- 采用PINN/ResPINN对两种偏微分方程（Burgers&Allen-Cahn）的训练与求解☆17Feb 5, 2021Updated 5 years ago
- Folax (Finite Operator Learning with JAX) is a framework for solving and optimizing PDEs by integrating machine learning with numerical m…☆21Updated this week
- Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)☆22Aug 10, 2022Updated 3 years ago
- This repository holds all the documents related to the workshop conducted at I2M Bordeaux in September 2024.☆19Apr 3, 2026Updated 3 months ago
- Physics-informed neural networks (PINNs)☆15Jun 7, 2022Updated 4 years ago