YuanWeiHai

YuanWeiHai's Stars

• cdcseacave/Visual-Studio-Visualizers

  Custom views of various objects for Visual Studio debugger

  7023

• jjeongGrp/GB-cohesive-UEL

  Generate cohesive elements in ABAQUS mesh at the grain boundaries in 3D

  1

• ngrilli/PyCiGen

  Generate cohesive elements in ABAQUS mesh at the grain boundaries in 3D

  Language:Fortran3115

• ParticulateFlow/LBDEMcoupling-public

  Coupling between the Lattice-Boltzmann code Palabos and the DEM code LIGGGHTS

  Language:C++5941

• weili101/Deep_Plates

  Physics-guided neural network framework for elastic plates

  Language:Jupyter Notebook3310

• WindQAQ/MPM

  Simulating on GPU using Material Point Method and rendering.

  Language:C10518

• TinSn50/PINNs-Applications-in-Linear-Elastic-Solid-Mechanics

  This project is divided in a two parts. In first study, Lame parameters are identified using tanh activation function. After that, six activation functions are analysed on the basis of minimum loss, training time and convergence order for different error norms.

  Language:Python8

• dc-luo/seepagePINN

  Physics informed neural network for learning seepage flow models

  Language:Python177

• gnomeCreative/HYBIRD

  DEM-LBM code for fluid-particle simulations

  Language:C++111

• sugitakuwo/lbm-dem

  Code to simulate free-falling impactor onto dense suspensions

  72

• TUSAIL/PyroclastMPM

  A modular GPU-based Material Point Method (MPM) solver.

  Language:C++10

• projectchrono/DEM-Engine

  A dual-GPU DEM solver with complex grain geometry support

  Language:C++7714

• idrl-lab/PINNpapers

  Must-read Papers on Physics-Informed Neural Networks.

  Language:Python964162

• WeiZhang-2023/ESPFEM2D

  The Smoothed Particle Finite Element Method (SPFEM) has gained popularity as one of the effective numerical methods for modelling geotechnical problems involving large deformations. To advance the research and application of SPFEM in geotechnical engineering, we present ESPFEM2D, a two-dimensional SPFEM open-source solver developed using MATLAB.

  Language:MATLAB152

• benmoseley/FBPINNs

  Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)

  Language:Python32970

• rishithellathmeethal/fem_nn

  FEM enhanced neural network

  Language:Jupyter Notebook127

• hojunkim13/PINNs

  Basic implementation of physics-informed neural network with pytorch.

  Language:Python4912

• tum-pbs/pbdl-book

  Welcome to the Physics-based Deep Learning Book (v0.2)

  Language:Jupyter Notebook1k160

• hsbhc/AMAW-PINN

  Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting

  Language:Python208

• m-irrohas/pinn

  Physics-Informed Neural Network

  Language:Jupyter Notebook52

• lululxvi/deepxde

  A library for scientific machine learning and physics-informed learning

  Language:Python2.8k759

• chen-yingfa/pinn-torch

  PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations

  Language:Jupyter Notebook7813

• Shengfeng233/PINN-for-NS-equation

  A pytorch implementaion of physics informed neural networks for two dimensional NS equation

  Language:Python11210

• PredictiveIntelligenceLab/UQPINNs

  Language:Jupyter Notebook6231

• jtoleary/SPINN

  Stochastic Physics-Informed Neural Networks: A Moment-Matching Framework for Learning Hidden Physics within Stochastic Differential Equations

  Language:Python134

• jtoleary/SPINODE

  Stochastic Physics-Informed Neural Ordinary Differential Equations

  Language:Jupyter Notebook152

• PML-UCF/pinn_wind_bearing

  Python scripts for wind turbine main bearing fatigue life estimation with physics-informed neural networks

  Language:Python9235

• zxgcqupt/PINNs4SRA

  Language:Jupyter Notebook123

• yaredwb/PINN-Consolidation1D-Paper

  Physics-informed deep neural networks for one-dimensional consolidation

  32

• PredictiveIntelligenceLab/Physics-informed-DeepONets

  Language:Jupyter Notebook29092