BaratiLab / PDE-Identification-Features
Data-driven Identification of 2D Partial Differential Equations using Extracted Physical Features
☆11Updated 3 years ago
Alternatives and similar repositories for PDE-Identification-Features:
Users that are interested in PDE-Identification-Features are comparing it to the libraries listed below
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Updated 2 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☆13Updated 3 years ago
- CU-BEN serial version: geometric and material nonlinear static and transient dynamic structural analysis/ linear acoustic fluid structure…☆11Updated 4 years ago
- This repository contains the simple source codes of "Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies…☆15Updated 3 years ago
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆18Updated 2 years ago
- One-dimensional unsteady compressible reacting flow simulation framework, designed for simple prototyping and testing of novel reduced-or…☆27Updated last year
- Generative Adversarial Networks are used to super resolve turbulent flow fields from low resolution (RANS/LES) fields to high resolution …☆23Updated 4 years ago
- LES-ML closures for Kraichnan turbulence☆18Updated 5 years ago
- 1D RANS model simulation at fully developed turbulent channel flow.☆17Updated 8 years ago
- ☆12Updated 3 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆23Updated last year
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆25Updated 3 years ago
- In computational fluid dynamics (CFD), the SIMPLE algorithm is a widely used numerical procedure to solve the Navier–Stokes equations. SI…☆15Updated 4 years ago
- This repository contains code for data-driven LES of two-dimensional turbulence.☆11Updated 3 years ago
- Deep Learning of Turbulent Scalar Mixing☆17Updated 5 years ago
- Deep Learning based method to try and learn the problem of inverse Navier Stokes and model the flow for an oscillating airfoil.☆20Updated 4 years ago
- Python tools for non-intrusive reduced order modeling☆19Updated 8 months ago
- Source code for "Probabilistic neural networks for fluid flow model-order reduction and data recovery"☆11Updated 4 years ago
- ☆19Updated 4 years ago
- This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"☆18Updated 2 years ago
- ☆24Updated 6 years ago
- Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10…☆24Updated last year
- Deep learning framework for model reduction of dynamical systems☆21Updated 4 years ago
- Direct Numerical Simulation of Fluid Flow with IBM Using Python☆29Updated last year
- XPINN code written in TensorFlow 2☆27Updated 2 years ago
- Numerical tool for Construction of Reduced-order models for fluid flows.☆30Updated 4 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
- ☆13Updated 2 years ago
- This repository contains the simple source codes of "Convolutional neural network and long short-term memory based reduced order surrogat…☆13Updated 4 years ago