zhairuizhi

1DBloodFlowPINNs

2D-3D-CNN

2d-sdf-net

This is a neural network approximating the two-dimensional signed distance functions of polygons.

Airfoil-GCNN

Graph Convolutional Networks for Unstructured Flow Fields

An-improved-PINNs-with-the-adaptive-weight-sampling-and-DE-algorithm

An improved and generic PINNs for fluid dynamic analysis is proposed. This approach incorporates three key improvements: residual-based adaptive sampling, which automatically samples points in areas with larger residuals; adaptive loss weights, which balance the loss terms effectively; and the utilization of the DE optimization algorithm

Assessment-of-hybrid-DL-ROM

POD-RNN and CRAN

AttnPINN-for-RUL-Estimation

A Framework for Remaining Useful Life Prediction Based on Self-Attention and Physics-Informed Neural Networks

CANN

Constitutive Artificial Neural Networks (CANNs) for modeling of hyperelastic materials

CausalPINNs

vitAirfoilEncoder

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

zhairuizhi/1DBloodFlowPINNs

zhairuizhi/CANN

Constitutive Artificial Neural Networks (CANNs) for modeling of hyperelastic materials

zhairuizhi/DeepLSTM

Deep LSTM for highly nonlinear system modeling

zhairuizhi/DeepVIV

Deep Learning of Vortex Induced Vibrations

zhairuizhi/CFD101

💧CFD(计算流体力学)资料汇总、学习笔记，欢迎补充...

zhairuizhi/CNNforCFD

This folder contains a sample code for the use of convolutional neural network for fluid force prediction of bluff body flows.

zhairuizhi/Computational-Fluid-Dynamics-Machine-Learning-Examples

This repo contains some tutorial type programs showing some basic ways machine learning can be applied to CFD.

zhairuizhi/Computational-Physics-and-Machine-Learning-Reading-List

A list of papers relating Computational Physics and Machine Learning

zhairuizhi/Hagen-Poiseuille-Flow-with-LSTM

Tutorial on using LSTM to predict Hagen-Poiseuille flow

zhairuizhi/HFM

Hidden Fluid Mechanics

zhairuizhi/Image-Restoration-using-SRCNN

Deploying the super-resolution convolution neural network (SRCNN) using Keras

zhairuizhi/MultistepNNs

Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems

zhairuizhi/NeuralODE-ROM

This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"

zhairuizhi/nmor

Deep learning framework for model reduction of dynamical systems

zhairuizhi/Optimally-Weighted-PINNs

zhairuizhi/PG_MFNN

Collaboration with P&G using MFNN

zhairuizhi/phygeonet

PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain

zhairuizhi/PINN-elastodynamics

physics-informed neural network for elastodynamics problem

zhairuizhi/PINNs

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

zhairuizhi/PINNs_RRE

Physics-informed neural networks for the Richardson-Richards equation

zhairuizhi/POD-PINN

POD-PINN code and manuscript

zhairuizhi/SaConvSLTM

Self-Attention ConvLSTM for Spatiotemporal Prediction, described in `https://ojs.aaai.org//index.php/AAAI/article/view/6819`, test on MovingMNIST.

zhairuizhi/Steady-State-Flow-With-Neural-Nets

A Tensorflow re-implementation of the paper Convolutional Neural Networks for Steady Flow Approximation

zhairuizhi/symmetry_invariant_neural_networks

zhairuizhi/TaxiPrediction

zhairuizhi/Thermodynamics-Neural-Networks

Thermodynamics-based Artificial Neural Networks

zhairuizhi/twophasePINN

Physics-informed neural networks for two-phase flow problems