FrancescoRegazzoni / model-learningLinks
☆14Updated 3 years ago
Alternatives and similar repositories for model-learning
Users that are interested in model-learning are comparing it to the libraries listed below
Sorting:
- LES-ML closures for Kraichnan turbulence☆19Updated 6 years ago
- One-dimensional unsteady compressible reacting flow simulation framework, designed for simple prototyping and testing of novel reduced-or…☆30Updated 2 years ago
- Repository to reproduce the experiments in the paper "Deep learning observables in computational fluid dynamics"☆14Updated 6 years ago
- Generative Adversarial Networks are used to super resolve turbulent flow fields from low resolution (RANS/LES) fields to high resolution …☆23Updated 5 years ago
- 1D RANS model simulation at fully developed turbulent channel flow.☆19Updated 9 years ago
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆34Updated 3 years ago
- Nonlinear proper orthogonal decomposition for convection-dominated flows☆15Updated 4 years ago
- Sparse Identification of Nonlinear Dynamics for Boundary Value Problems☆13Updated 4 years ago
- Deep Learning of Turbulent Scalar Mixing☆17Updated 6 years ago
- ☆19Updated 5 years ago
- Update PDEKoopman code to Tensorflow 2☆24Updated 4 years ago
- Data-driven Identification of 2D Partial Differential Equations using Extracted Physical Features☆12Updated 4 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆21Updated 2 years ago
- A toolbox for the construction and assessment of subgrid-scale models for large-eddy simulations☆18Updated 6 years ago
- A DNS and LES box code☆28Updated 2 weeks ago
- Numerical tool for Construction of Reduced-order models for fluid flows.☆31Updated 5 years ago
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Updated 2 years ago
- This repository contains the simple source codes of "Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies…☆17Updated 4 years ago
- Tensor Basis Neural Network for Scalar Mixing☆10Updated 2 years ago
- In computational fluid dynamics (CFD), the SIMPLE algorithm is a widely used numerical procedure to solve the Navier–Stokes equations. SI…☆16Updated 5 years ago
- Spanwise-averaged Navier–Stokes modelling through convolutional neural network☆14Updated last year
- ☆26Updated 7 years ago
- Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10…☆27Updated 2 years ago
- Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.☆16Updated 2 years ago
- Numerical assessments of a nonintrusive surrogate model based on recurrent neural networks and proper orthogonal decomposition: Rayleigh …☆10Updated 3 years ago
- ☆19Updated 8 years ago
- Control of 2D Rayleigh Benard Convection using Deep Reinforcement Learning with Tensorforce and Shenfun.☆21Updated 2 years ago
- The Gerris based Solid-Fluid system solver☆13Updated 4 years ago
- This repository contains the simple source codes of "Convolutional neural network and long short-term memory based reduced order surrogat…☆15Updated 4 years ago
- A Python toolkit to calculate and visualize turbulence anisotropy and turbulent viscosity from Reynolds stress tensor data.☆21Updated 2 years ago