zhaili191105

2D-3D-CNN

CNN-MLP_and_CNN-AE-network-structure-with-supplemental-scalar-inputs

Source codes for "Convolutional neural networks for fluid flow analysis: toward effective metamodeling and low-dimensionalization," (arxiv:2101.02535)

Computational-Fluid-Dynamics

CFD software for 2D and 3D Navier Stokes Flows.

CReLU

CReLU layer for TensorFlow/Keras

DataDrivenFluid

Illustration of POD and DMD

Deep-Flow-Prediction

A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning

Deep-Learning-for-Aerodynamic-Prediction

This repository contains code used to create and train a deep neural network that replicates a RANS solver for aerodynamic prediction over airfoils.

DeepCFD

DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks

DL-ROM

Deep Learning for Reduced Order Modelling

DL-ROM-Meth

Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10915-021-01462-7.

zhaili191105/2D-3D-CNN

zhaili191105/CNN-MLP_and_CNN-AE-network-structure-with-supplemental-scalar-inputs

Source codes for "Convolutional neural networks for fluid flow analysis: toward effective metamodeling and low-dimensionalization," (arxiv:2101.02535)

zhaili191105/Computational-Fluid-Dynamics

CFD software for 2D and 3D Navier Stokes Flows.

zhaili191105/CReLU

CReLU layer for TensorFlow/Keras

zhaili191105/DataDrivenFluid

Illustration of POD and DMD

zhaili191105/Deep-Flow-Prediction

A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning

zhaili191105/Deep-Learning-for-Aerodynamic-Prediction

This repository contains code used to create and train a deep neural network that replicates a RANS solver for aerodynamic prediction over airfoils.

zhaili191105/DeepCFD

DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks

zhaili191105/DL-ROM

Deep Learning for Reduced Order Modelling

zhaili191105/DL-ROM-Meth

Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10915-021-01462-7.

zhaili191105/dmd_autoencoder

Enhancing Dynamic Mode Decomposition using Autoencoder Networks.

zhaili191105/early-stopping-pytorch

Early stopping for PyTorch

zhaili191105/gnn_laminar_flow

Laminar flow prediction using graph neural networks

zhaili191105/GraphQL_demo

zhaili191105/LBPINN

zhaili191105/MCNN

Demo of Multi-scale Deep Convolutional Neural Networks

zhaili191105/MFNN

multi-fidelity neural network

zhaili191105/ML-ROM_turbulent_flow

This repository contains the simple source codes of "Convolutional neural network and long short-term memory based reduced order surrogate for minimal turbulent channel flow"

zhaili191105/ML-ROM_Various_Shapes

This repository contains the simple source codes of "Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies of various shapes"

zhaili191105/Multi-fidelity-neural-network

zhaili191105/Multi-head-attention-network

Multi-head attention network for airfoil flow field prediction

zhaili191105/physics-informed-autoencoders

Research project conducted at Pacific Northwest National Laboratory, exploring the use of physics-informed autoencoders to predict fluid flow dynamics

zhaili191105/POD-DMD-decompositions

POD and DMD decomposition of data from fluid dynamics. This work has been produced during my internship at the von Karman Institute for Fluid Dynamics under supervision of Professor Miguel A. Mendez.

zhaili191105/RheologyNet

zhaili191105/ROM_code

Numerical tool for Construction of Reduced-order models for fluid flows.

zhaili191105/vitAirfoilEncoder

this repository mainly descript how use vision transfrmer encode airfoil to latent code

zhaili191105/Voronoi-CNN

Sample codes for training of Voronoi-tessellation-assisted convolutional neural network by Fukami et al. (Nature Machine Intelligence 2021)