akaptano / POD-Galerkin_MHDLinks
This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The code is used for NIMROD simulations of the HIT-SI experiment and this recent paper on data-driven reduced-order modeling for plasmas: https://arxiv.org/abs/2004.10389. The code relies on the PySINDy package https:…
☆23Updated 4 years ago
Alternatives and similar repositories for POD-Galerkin_MHD
Users that are interested in POD-Galerkin_MHD are comparing it to the libraries listed below
Sorting:
- ☆24Updated 5 years ago
- ☆29Updated last year
- Control of 2D Rayleigh Benard Convection using Deep Reinforcement Learning with Tensorforce and Shenfun.☆21Updated 2 years ago
- Discontinuity Computing Using Physics-Informed Neural Network☆26Updated last year
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆33Updated 3 years ago
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆77Updated 2 months 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
- Sparse Identification of Nonlinear Dynamics for Boundary Value Problems☆13Updated 4 years ago
- Pseudospectral Kolmogorov Flow Solver☆41Updated 2 years ago
- Generalized sparse regression for continuous and discrete data☆12Updated last month
- KTH-FlowAI / Towards-extraction-of-orthogonal-and-parsimonious-non-linear-modes-from-turbulent-flows☆11Updated 2 years ago
- Convolutional Solvers for Partial Differential Equations☆27Updated 5 years ago
- ☆12Updated last week
- This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"☆19Updated 2 years ago
- Simple OOP Python Code to run some Pseudo-Spectral 2D Simulations of Turbulence☆70Updated 2 years ago
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Updated 2 years ago
- Spectral methods in matlab☆12Updated 9 months ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆28Updated 4 years ago
- ☆18Updated last year
- ☆55Updated 2 years ago
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆19Updated 2 years ago
- Solve the 1D forced Burgers equation with high order finite elements and finite difference schemes.☆26Updated 3 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆21Updated 2 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- Publication of Python code used to train ModalPINN☆11Updated 3 years ago
- Update PDEKoopman code to Tensorflow 2☆23Updated 4 years ago
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆23Updated 3 years ago
- Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.☆15Updated 2 years ago
- POD and DMD decomposition of data from fluid dynamics. This work has been produced during my internship at the von Karman Institute for F…☆34Updated 5 years ago
- PINN Implementation for IJCAI paper, "Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activat…☆20Updated last year