cmudrc / MegaFlow2D
The MegaFlow2D dataset package
☆18Updated last year
Alternatives and similar repositories for MegaFlow2D:
Users that are interested in MegaFlow2D are comparing it to the libraries listed below
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆46Updated last month
- Discontinuity Computing Using Physics-Informed Neural Network☆22Updated 10 months ago
- Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆24Updated 2 months ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆21Updated last year
- ☆22Updated 7 months ago
- Multifidelity DeepONet☆27Updated last year
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆25Updated last year
- Frame-independent vector-cloud neural network for nonlocal constitutive modelling on arbitrary grids.☆11Updated 3 years ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆35Updated 2 years ago
- DeepONet extrapolation☆25Updated last year
- Code for "Robust flow field reconstruction from limited measurements vis sparse representation" (J. Callaham, K. Maeda, and S. Brunton 20…☆14Updated 6 years ago
- machine learning-accelerated computational fluid dynamics☆18Updated 3 years ago
- This repository contains the simple source codes of "Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies…☆15Updated 3 years ago
- Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations☆22Updated last year
- Competitive Physics Informed Networks☆26Updated 5 months ago
- MIONet: Learning multiple-input operators via tensor product☆31Updated 2 years ago
- This is the implementation of the RecFNO.☆17Updated 2 years ago
- ☆28Updated 2 years ago
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆29Updated 2 years ago
- Code for Mesh Transformer describes in the EAGLE dataset☆35Updated 10 months ago
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆17Updated 2 years ago
- Multi-fidelity reduced-order surrogate modeling☆19Updated 2 months ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆31Updated 7 months ago
- ☆14Updated 3 years ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆49Updated 3 years ago
- This repository contains code, which was used to generate large-scale results in the HINTS paper.☆25Updated 4 months ago
- Generative Adversarial Networks are used to super resolve turbulent flow fields from low resolution (RANS/LES) fields to high resolution …☆23Updated 4 years ago
- Official implementation of Scalable Transformer for PDE surrogate modelling☆36Updated 10 months ago
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆19Updated 2 years ago
- A library for dimensionality reduction on spatial-temporal PDE☆63Updated 10 months ago