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/2d-sdf-net

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

zhairuizhi/cnn_spallart_allmaras

Turbulent viscosity field prediction using convolution neural networks

zhairuizhi/Conservative_PINNs

We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation property of cPINN is obtained by enforcing the flux continuity in the strong form along the sub-domain interfaces.

zhairuizhi/deep-learning-for-indentation

Extraction of mechanical properties of materials through deep learning from instrumented indentation

zhairuizhi/Deep_Plates

Physics-guided neural network framework for elastic plates

zhairuizhi/EQDiscovery

Physics-informed learning of governing equations from scarce data

zhairuizhi/FinNet

codes for FinNet: Finite Difference Network for solving differential equations

zhairuizhi/fourier_neural_operator

Use Fourier transform to learn operators in differential equations.

zhairuizhi/galerkin-transformer

[NeurIPS 2021] Galerkin Transformer: a linear attention without softmax

zhairuizhi/Generate_CFD_by_DL

zhairuizhi/GradientPathologiesPINNs

zhairuizhi/IB-PINN

zhairuizhi/idrlnet

IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.

zhairuizhi/Long-time-Integration-PI-DeepONets

zhairuizhi/ml-pbf

Position Based Fluids with Graph Neural Networks

zhairuizhi/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"

zhairuizhi/PhyCRNet

Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs

zhairuizhi/Physics-Informed-Neural-Networks-for-AC-Optimal-Power-Flow

This repository contains the code for Physics-Informed Neural Network for AC Optimal Power Flow applications and the worst case guarantees

zhairuizhi/PI-UNet_HSL-TFP

This is the implementation of the PI-UNet for HSL-TFP

zhairuizhi/PICNNSR

Super-resolution and denoising of fluid flow using physics-informed convolutional neural networks without high-resolution labels -- parametric forward SR and boundary inference

zhairuizhi/PINN-TF2.1

zhairuizhi/pinn_ode_tutorial

zhairuizhi/PINNpapers

Must-read Papers on Physics-Informed Neural Networks.

zhairuizhi/PINNsNTK

zhairuizhi/PiSL

A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.

zhairuizhi/PyTorch_Tutorial

《Pytorch模型训练实用教程》中配套代码

zhairuizhi/SA-PINNs

Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]

zhairuizhi/sciann-applications

A place to share problems solved with SciANN

zhairuizhi/tensorflow-

zhairuizhi/TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)