maziarraissi / DeepVIVLinks
Deep Learning of Vortex Induced Vibrations
☆98Updated 5 years ago
Alternatives and similar repositories for DeepVIV
Users that are interested in DeepVIV are comparing it to the libraries listed below
Sorting:
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆89Updated 2 years ago
- POD-PINN code and manuscript☆52Updated 9 months ago
- Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network☆68Updated last year
- ☆74Updated 9 months ago
- Python code to calculate proper orthogonal decomposition modes (aka principal components), which are then used to generate reduced order …☆37Updated 10 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆87Updated 4 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆81Updated 3 years ago
- Physics-informed neural networks for two-phase flow problems☆65Updated 3 months ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆72Updated 2 years ago
- Data-driven Reynolds stress modeling with physics-informed machine learning☆93Updated 6 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…☆32Updated 4 years ago
- Physics-guided neural network framework for elastic plates☆45Updated 3 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆79Updated last year
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆32Updated last year
- Uncertainty Quantification of RANS Data-Driven Turbulence Modeling☆61Updated 4 years ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆150Updated 5 years ago
- Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation☆18Updated 2 years ago
- Deep Learning for Reduced Order Modelling☆100Updated 3 years ago
- PINN in solving Navier–Stokes equation☆108Updated 5 years ago
- ☆40Updated 3 years ago
- A curated list of awesome Machine Learning projects in Fluid Dynamics☆102Updated 3 years ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆93Updated 3 years ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆97Updated 3 years ago
- Sparse Physics-based and Interpretable Neural Networks☆51Updated 3 years ago
- Physics Informed Neural Network (PINN) for Burgers' equation.☆71Updated last year
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆32Updated last year
- Physics-informed neural networks for highly compressible flows 🧠🌊☆27Updated last year
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆32Updated 3 years ago
- ☆21Updated 4 years ago
- Tutorial on a number of topics in Deep Learning☆36Updated 5 years ago