BaratiLab / FGNLinks
Code repo for Fluid Graph Network
☆25Updated 3 years ago
Alternatives and similar repositories for FGN
Users that are interested in FGN are comparing it to the libraries listed below
Sorting:
- ☆61Updated 4 months ago
- machine learning-accelerated computational fluid dynamics☆18Updated 3 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- Modified Meshgraphnets with more features☆54Updated 6 months ago
- ☆97Updated 6 months ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆56Updated 3 years ago
- ☆31Updated 2 years ago
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆56Updated 7 months ago
- Code for "Robust flow field reconstruction from limited measurements vis sparse representation" (J. Callaham, K. Maeda, and S. Brunton 20…☆14Updated 6 years ago
- Frame-independent vector-cloud neural network for nonlocal constitutive modelling on arbitrary grids.☆11Updated 3 years ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆29Updated last year
- Physics-informed radial basis network☆31Updated last year
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆32Updated last year
- Code for the paper "Thermodynamics-informed graph neural networks" published in IEEE Transactions on Artificial Intelligence (TAI).☆103Updated 11 months ago
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆66Updated 2 months ago
- Implementation of 'Physics-Informed Neural Networks for Shell Structures' (European Journal of Mechanics A)☆39Updated 11 months ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆87Updated 4 years ago
- ☆111Updated 6 months ago
- Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey☆202Updated 2 months ago
- Implementation of a ResUNet-based DeepONet for predicting stress distribution on variable input geometries subject to variable loads. A R…☆14Updated 2 years ago
- Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations☆27Updated 2 years ago
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆47Updated 2 years ago
- ☆125Updated 2 years ago
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆32Updated last year
- ☆40Updated 3 years ago
- This repository contains code, which was used to generate large-scale results in the HINTS paper.☆30Updated 9 months ago
- code for active flow control of flow around cynder using Deep Reinforcement Learning☆48Updated 3 years ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆89Updated last year
- Immersed boundary - Fluid Structure Interaction solver with heat transfer☆11Updated 10 months ago
- ☆32Updated last month