zuokuijun / Multi-head-attention-networkLinks
Multi-head attention network for airfoil flow field prediction
☆13Updated 2 years ago
Alternatives and similar repositories for Multi-head-attention-network
Users that are interested in Multi-head-attention-network are comparing it to the libraries listed below
Sorting:
- CNN model to predict the lift-drag ratio of airfoil☆15Updated 4 years ago
- This repository contains the simple source codes of "Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies…☆16Updated 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
- Convolution Neural Network based solution for 2D steady state Navier Stokes equation for submerged badies☆11Updated 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
- This repo contains a PyTorch-based AE-ConvLSTM model for fluid flow prediction. It can forecast 5–10 time steps per forward pass and over…☆24Updated 2 months ago
- ☆40Updated 3 years ago
- This repository hold some techniques associated with Artificial Intelligence to examine the aerodynamics of airfoils☆17Updated 6 months ago
- Implementation of physics-informed PointNet (PIPN) for weakly-supervised learning of incompressible flows and thermal fields on irregular…☆11Updated last month
- This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"☆19Updated 2 years ago
- Laminar flow prediction using graph neural networks☆31Updated 6 months ago
- Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations☆11Updated 2 years ago
- POD-PINN code and manuscript☆52Updated 8 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
- ☆17Updated last year
- The lid-driven cavity is a popular problem within the field of computational fluid dynamics (CFD) for validating computational methods. I…☆15Updated 3 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
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆20Updated 2 years ago
- ☆11Updated last month
- Physics-guided neural network framework for elastic plates☆45Updated 3 years ago
- This is the source code for our paper "Towards high-accuracy deep learning inference of compressible turbulent flows over aerofoils"☆31Updated last year
- ☆22Updated 9 months ago
- Frame-independent vector-cloud neural network for nonlocal constitutive modelling on arbitrary grids.☆11Updated 3 years ago
- Machine Learning enhanced CFD solver for incompressible isothermal fluid flow☆14Updated 2 months ago
- This repository contains code for data-driven LES of two-dimensional turbulence.☆11Updated 3 years ago
- Prediction of Fluid Flow in Porous Media by Sparse Observations and Physics-Informed PointNet☆13Updated 11 months ago
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆18Updated 2 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆32Updated 3 years ago
- Multi-fidelity reduced-order surrogate modeling☆24Updated last month
- Python scripts to run resolution of the Reynolds-Averaged-Navier-Stokes equations over NACA 4 and 5 digits airfoils.☆24Updated 7 months ago