Romit-Maulik / Probabilistic_ML_FluidsLinks
Source code for "Probabilistic neural networks for fluid flow model-order reduction and data recovery"
☆11Updated 4 years ago
Alternatives and similar repositories for Probabilistic_ML_Fluids
Users that are interested in Probabilistic_ML_Fluids are comparing it to the libraries listed below
Sorting:
- Multi-fidelity Generative Deep Learning Turbulent Flows☆38Updated 4 years ago
- Data-driven Identification of 2D Partial Differential Equations using Extracted Physical Features☆11Updated 4 years ago
- Deep Learning based method to try and learn the problem of inverse Navier Stokes and model the flow for an oscillating airfoil.☆21Updated 5 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
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆26Updated 3 years ago
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Updated 2 years ago
- Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10…☆25Updated last year
- Publication of Python code used to train ModalPINN☆11Updated 3 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Updated 5 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆20Updated 2 years ago
- Nonlinear proper orthogonal decomposition for convection-dominated flows☆14Updated 3 years ago
- POD-PINN code and manuscript☆52Updated 8 months ago
- Python tools for non-intrusive reduced order modeling☆19Updated 4 months ago
- Supporting code for "Reduced-order modeling of advection-dominated systems with recurrent neural networks and convolutional autoencoders"☆21Updated 4 years ago
- ☆13Updated 3 years ago
- This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"☆19Updated 2 years ago
- Numerical assessments of a nonintrusive surrogate model based on recurrent neural networks and proper orthogonal decomposition: Rayleigh …☆10Updated 2 years ago
- Standardized Non-Intrusive Reduced Order Modeling☆12Updated 2 years ago
- ☆21Updated 4 years ago
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆32Updated last year
- ☆25Updated 7 years ago
- Tensor Basis Neural Network for Scalar Mixing☆10Updated 2 years ago
- Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.☆15Updated last year
- Python scripts to run resolution of the Reynolds-Averaged-Navier-Stokes equations over NACA 4 and 5 digits airfoils.☆24Updated 7 months ago
- Sample codes for training of Voronoi-tessellation-assisted convolutional neural network by Fukami et al. (Nature Machine Intelligence 202…☆53Updated 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
- Control of 2D Rayleigh Benard Convection using Deep Reinforcement Learning with Tensorforce and Shenfun.☆19Updated 2 years ago
- Deep learning framework for model reduction of dynamical systems☆21Updated 4 years ago
- LES-ML closures for Kraichnan turbulence☆19Updated 5 years ago
- XPINN code written in TensorFlow 2☆28Updated 2 years ago