Encoding physics to learn reaction-diffusion processes
☆112Aug 28, 2023Updated 3 years ago
Alternatives and similar repositories for PeRCNN
Users that are interested in PeRCNN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Physics-encoded recurrent convolutional neural network☆49Jan 3, 2022Updated 4 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆169May 15, 2024Updated 2 years ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆28Sep 30, 2021Updated 5 years ago
- Ensembe PINN for improved inverse modeling☆11Apr 26, 2023Updated 3 years ago
- Physics-informed deep super-resolution of spatiotemporal data☆52Sep 5, 2023Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Repo to the paper "Message Passing Neural PDE Solvers"☆152Sep 11, 2024Updated 2 years ago
- ☆27Jul 7, 2022Updated 4 years ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023☆76Jan 13, 2024Updated 2 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆33Mar 19, 2026Updated 7 months ago
- ☆14Aug 22, 2024Updated 2 years ago
- ☆36May 6, 2025Updated last year
- Physics-informed learning of governing equations from scarce data☆171Jul 19, 2023Updated 3 years ago
- ☆11Aug 13, 2024Updated 2 years ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆42Jun 21, 2024Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ☆75Jun 14, 2026Updated 4 months ago
- An automatic knowledge embedding framework for scientific machine learning☆23May 15, 2022Updated 4 years ago
- MATLAB codes for the RPIM-NNS☆16Jun 26, 2024Updated 2 years ago
- A comprehensive benchmark for machine learning multiphysics flows☆22Feb 3, 2026Updated 9 months ago
- Neural operator learning of heterogeneous mechanobiological insults contributing to aortic aneurysms☆12Nov 4, 2024Updated 2 years ago
- Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs (AAAI 2024)☆16Jul 30, 2024Updated 2 years ago
- ☆11Dec 20, 2024Updated last year
- Here you find the Spectral Operator Learning Under construcTION☆21May 8, 2024Updated 2 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆26May 30, 2023Updated 3 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- This repository contains the code for the paper: Deciphering and integrating invariants for neural operator learning with various physica…☆13Mar 18, 2024Updated 2 years ago
- ☆561Apr 1, 2025Updated last year
- A large-scale benchmark for machine learning methods in fluid dynamics☆304Oct 25, 2025Updated last year
- ☆19Feb 28, 2026Updated 8 months ago
- ☆178Jun 27, 2022Updated 4 years ago
- ☆14Jan 7, 2025Updated last year
- ☆12Nov 4, 2024Updated 2 years ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆74Jun 10, 2024Updated 2 years ago
- ☆1,128Oct 29, 2026Updated last week
- 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.
- PDE Preserved Neural Network☆59May 15, 2025Updated last year
- A solver for subsonic flow around airfoils based on physics-informed neural networks and mesh transformation☆42Jan 18, 2024Updated 2 years ago
- Code and data for learning moving boundary physics using PDDO and Ensemble SINDy☆10Aug 20, 2023Updated 3 years ago
- Code repo for CoNFiLD: Conditional Neural Field Latent Diffusion Model Generating Spatiotemporal Turbulence☆93Feb 19, 2025Updated last year
- ☆16Nov 20, 2023Updated 2 years ago
- Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".☆29Nov 6, 2024Updated 2 years ago
- physics-informed neural network for elastodynamics problem☆164Jan 20, 2022Updated 4 years ago