maziarraissi / DeepVIVView external linksLinks
Deep Learning of Vortex Induced Vibrations
☆99Feb 21, 2020Updated 5 years ago
Alternatives and similar repositories for DeepVIV
Users that are interested in DeepVIV are comparing it to the libraries listed below
Sorting:
- Deep Learning of Turbulent Scalar Mixing☆17Oct 6, 2019Updated 6 years ago
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆63Feb 20, 2020Updated 5 years ago
- Tutorial on a number of topics in Deep Learning☆37Feb 20, 2020Updated 5 years ago
- Hidden Fluid Mechanics☆353Jan 30, 2023Updated 3 years ago
- Machine learning of linear differential equations using Gaussian processes☆26May 2, 2018Updated 7 years ago
- This repository contains the simple source codes of "Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies…☆17May 14, 2021Updated 4 years ago
- Data-driven Identification of 2D Partial Differential Equations using Extracted Physical Features☆12Apr 23, 2021Updated 4 years ago
- Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations☆285Jul 30, 2022Updated 3 years ago
- Deep Learning based method to try and learn the problem of inverse Navier Stokes and model the flow for an oscillating airfoil.☆24Jun 7, 2020Updated 5 years ago
- Spanwise-averaged Navier–Stokes modelling through convolutional neural network☆14May 17, 2024Updated last year
- Numerical assessments of a nonintrusive surrogate model based on recurrent neural networks and proper orthogonal decomposition: Rayleigh …☆10Dec 2, 2022Updated 3 years ago
- Physics-informed neural network for solving fluid dynamics problems☆264Jan 28, 2021Updated 5 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69May 26, 2020Updated 5 years ago
- Parametric Gaussian Process Regression for Big Data (Matlab Version)☆24May 2, 2018Updated 7 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆50Jul 23, 2020Updated 5 years ago
- Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations☆14Sep 1, 2022Updated 3 years ago
- Multi-head attention network for airfoil flow field prediction☆17Sep 13, 2022Updated 3 years ago
- KTH-FlowAI / Towards-extraction-of-orthogonal-and-parsimonious-non-linear-modes-from-turbulent-flows☆11Apr 5, 2023Updated 2 years ago
- Publication of Python code used to train ModalPINN☆11May 5, 2022Updated 3 years ago
- This folder contains a sample code for the use of convolutional neural network for fluid force prediction of bluff body flows.☆36Mar 20, 2019Updated 6 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆21Mar 25, 2023Updated 2 years ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆93May 11, 2022Updated 3 years ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆107Apr 15, 2022Updated 3 years ago
- This repo contains some tutorial type programs showing some basic ways machine learning can be applied to CFD.☆305Sep 12, 2019Updated 6 years ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆94Aug 17, 2023Updated 2 years ago
- This is the source code for our paper "Towards high-accuracy deep learning inference of compressible turbulent flows over aerofoils"☆33Mar 11, 2024Updated last year
- ☆63Mar 22, 2023Updated 2 years ago
- Hidden physics models: Machine learning of nonlinear partial differential equations☆149Feb 20, 2020Updated 5 years ago
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Mar 20, 2023Updated 2 years ago
- POD-PINN code and manuscript☆57Nov 10, 2024Updated last year
- ☆15Nov 20, 2023Updated 2 years ago
- ☆63Jul 24, 2019Updated 6 years ago
- Introduction to Machine Learning in R☆23May 7, 2021Updated 4 years ago
- Super-resolution and denoising of fluid flow using physics-informed convolutional neural networks without high-resolution labels -- param…☆23Aug 2, 2021Updated 4 years ago
- Demo code for PPINN paper: https://www.sciencedirect.com/science/article/pii/S0045782520304357☆10Oct 23, 2020Updated 5 years ago
- ☆54Oct 9, 2022Updated 3 years ago
- Physics-informed neural networks for highly compressible flows 🧠🌊☆29Nov 26, 2023Updated 2 years ago
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆39Jul 12, 2023Updated 2 years ago
- Post-processing package for CFD simulations I run for my PhD☆13Oct 19, 2021Updated 4 years ago