gdportwood / Turb_ML_PapersLinks
A collection of relevant literature related to advancement of machine learning techniques for turbulence modeling and analysis
☆17Updated 5 years ago
Alternatives and similar repositories for Turb_ML_Papers
Users that are interested in Turb_ML_Papers are comparing it to the libraries listed below
Sorting:
- Differentiable interface to FEniCS for JAX☆54Updated 4 years ago
- Deep learning framework for model reduction of dynamical systems☆21Updated 4 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- Scaling RLLib for generic simulation environments on Theta☆20Updated 2 years ago
- ☆53Updated 2 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
- A library of tools for computing variants of Dynamic Mode Decomposition☆47Updated 7 years ago
- Neural Network Based Lattice Boltzmann solver☆26Updated 6 years ago
- Scientific Machine Learning Tutorials☆38Updated 3 years ago
- Deep Learning of Turbulent Scalar Mixing☆17Updated 5 years ago
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆96Updated last year
- ☆10Updated 2 years ago
- ☆16Updated last week
- Using NVIDIA modulus for airfoil optimizations at different angles.☆22Updated 2 years ago
- ☆17Updated 5 months ago
- PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…☆26Updated last year
- An implementation of the 1. Parallel, 2. Streaming, 3. Randomized SVD using MPI4Py☆62Updated 4 years ago
- PINN paper that will be submitted to Journal of Computational Science☆11Updated 10 months ago
- Repository from the paper https://arxiv.org/abs/1908.04127, to train Deep Reinforcement Learning in Fluid Mechanics Setup.☆65Updated 4 years ago
- A set of Python notebooks to introduce the fundamentals of numerical programming using extensive examples from engineering.☆32Updated 4 years ago
- Python scripts to run resolution of the Reynolds-Averaged-Navier-Stokes equations over NACA 4 and 5 digits airfoils.☆23Updated 4 months 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
- 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
- Convolutional Solvers for Partial Differential Equations☆28Updated 4 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
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆31Updated 2 years ago
- This folder contains a sample code for the use of convolutional neural network for fluid force prediction of bluff body flows.☆36Updated 6 years ago
- A pyTorch Extension for Applied Mathematics☆39Updated 5 years ago
- The repository implements a set of algorithms from the book "Methods in Computational Science", written by Johan Hoffman and published by…☆19Updated 4 months ago
- ☆26Updated 11 months ago