sungyongs / dpgn
Differentiable Physics-informed Graph Networks
☆65Updated 5 years ago
Alternatives and similar repositories for dpgn:
Users that are interested in dpgn are comparing it to the libraries listed below
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆42Updated last year
- ☆34Updated 4 years ago
- Research project conducted at Pacific Northwest National Laboratory, exploring the use of physics-informed autoencoders to predict fluid …☆35Updated 2 years ago
- Towards Physics-informed Deep Learning for Turbulent Flow Prediction☆25Updated 3 years ago
- Physics-encoded recurrent convolutional neural network☆46Updated 3 years ago
- This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495☆37Updated last year
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆25Updated 3 years ago
- Turbulent flow network source code☆68Updated last month
- [AAAI24] LE-PDE-UQ endows deep learning-based surrogate models with robust and efficient uncertainty quantification capabilities for both…☆16Updated last year
- ☆49Updated 3 months ago
- ☆121Updated 2 years ago
- MeshGraphNets (MGN)☆62Updated last year
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆51Updated 3 years ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs☆59Updated last year
- ☆11Updated 2 years ago
- PENN code for NeurIPS 2022☆40Updated 2 years ago
- Repo to the paper "Message Passing Neural PDE Solvers"☆131Updated 7 months ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆58Updated 8 months ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆92Updated 2 years ago
- Source code for "Deep Dynamical Modeling and Control of Unsteady Fluid Flows" from NeurIPS 2018☆46Updated 6 years ago
- The public repository about our joint FINN research project☆36Updated 2 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆147Updated 11 months ago
- Physics-informed deep super-resolution of spatiotemporal data☆41Updated last year
- A multiphase multiphysics dataset and benchmarks for scientific machine learning☆27Updated last year
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆69Updated 2 years ago
- DeepONet extrapolation☆27Updated last year
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆44Updated last year
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆36Updated last week
- ☆13Updated 5 years ago
- ☆14Updated 4 years ago