neo-fetch / nvidia-modulus-airfoil-optimisationLinks
Using NVIDIA modulus for airfoil optimizations at different angles.
☆23Updated 2 years ago
Alternatives and similar repositories for nvidia-modulus-airfoil-optimisation
Users that are interested in nvidia-modulus-airfoil-optimisation are comparing it to the libraries listed below
Sorting:
- ☆54Updated 2 years ago
- ☆27Updated last year
- Gaussian process-based interpretable latent space dynamics identification through deep autoencoder☆34Updated last week
- Discontinuity Computing Using Physics-Informed Neural Network☆24Updated last year
- Pseudospectral Kolmogorov Flow Solver☆40Updated last year
- A Python library for training neural ODEs.☆25Updated 6 months ago
- XPINN code written in TensorFlow 2☆28Updated 2 years ago
- Code for the paper "Thermodynamics-informed graph neural networks" published in IEEE Transactions on Artificial Intelligence (TAI).☆102Updated last year
- ☆30Updated last year
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆32Updated 3 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
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆73Updated last month
- Tensor Basis Neural Network for Scalar Mixing☆10Updated 2 years ago
- Data-driven Reynolds stress modeling with physics-informed machine learning☆93Updated 6 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- One-dimensional unsteady compressible reacting flow simulation framework, designed for simple prototyping and testing of novel reduced-or…☆29Updated last year
- Simple OOP Python Code to run some Pseudo-Spectral 2D Simulations of Turbulence☆68Updated 2 years ago
- The MegaFlow2D dataset package☆23Updated last year
- Sparse Physics-based and Interpretable Neural Networks☆51Updated 3 years ago
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆63Updated 3 years ago
- This code implements the Tensor Basis Neural Network (TBNN) as described in Ling et al. (Journal of Fluid Mechanics, 2016).☆40Updated 7 years ago
- Example problems in Physics informed neural network in JAX☆80Updated 2 years ago
- This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The cod…☆20Updated 4 years ago
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆115Updated 3 years ago
- ☆21Updated 4 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
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Updated 5 years ago
- Multi-fidelity Generative Deep Learning Turbulent Flows☆38Updated 4 years ago
- code for active flow control of flow around cynder using Deep Reinforcement Learning☆50Updated 3 years ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆36Updated 2 months ago