cmudrc / MegaFlow2DLinks
The MegaFlow2D dataset package
☆23Updated last year
Alternatives and similar repositories for MegaFlow2D
Users that are interested in MegaFlow2D are comparing it to the libraries listed below
Sorting:
- Discontinuity Computing Using Physics-Informed Neural Network☆25Updated last year
- ☆14Updated 10 months 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 8 months ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆35Updated 2 years 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
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆36Updated this week
- Multi-fidelity reduced-order surrogate modeling☆25Updated 3 months ago
- Sparse Physics-based and Interpretable Neural Networks☆51Updated 3 years ago
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆19Updated 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 2 years ago
- ☆41Updated 3 years ago
- ☆14Updated 3 years ago
- POD-PINN code and manuscript☆53Updated 10 months ago
- This repository contains code, which was used to generate large-scale results in the HINTS paper.☆30Updated 11 months ago
- ☆27Updated 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
- Competitive Physics Informed Networks☆30Updated 11 months ago
- Physics-informed neural networks for highly compressible flows 🧠🌊☆27Updated last year
- This repository contains the simple source codes of "Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies…☆16Updated 4 years ago
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆27Updated 2 years ago
- machine learning-accelerated computational fluid dynamics☆18Updated 3 years ago
- code for active flow control of flow around cynder using Deep Reinforcement Learning☆50Updated 3 years ago
- ☆22Updated 4 years ago
- Fourier Neural Operators to solve for Allen Cahn PDE equations☆18Updated 3 years ago
- XPINN code written in TensorFlow 2☆28Updated 2 years ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆26Updated 4 years ago
- MIONet: Learning multiple-input operators via tensor product☆37Updated 2 years ago
- ☆29Updated 8 months ago
- Frame-independent vector-cloud neural network for nonlocal constitutive modelling on arbitrary grids.☆11Updated 3 years ago