GuoChi-Li's Stars
YPLianGroup/AMCA3D
AMCA3D (3D Cellular Automata method for Additive Manufacturing) is a parallel C++ program designed for modeling mesoscale grain structure evolution during the additive manufacturing process.
Terminals-Origin/Terminals
Terminals is a secure, multi tab terminal services/remote desktop client. It uses Terminal Services ActiveX Client (mstscax.dll). The project started from the need of controlling multiple connections simultaneously. It is a complete replacement for the mstsc.exe (Terminal Services) client. This is official source moved from Codeplex.
deepmodeling/jax-fem
Differentiable Finite Element Method with JAX
tianjuxue/jax-am
Additive manufacturing simulation with JAX.
pangfengliu/C-programming-with-idioms-2nd-edition
Source code of C Programming with Idioms 2nd. Edition.
lantunes/cellpylib
A library for working with Cellular Automata, for Python.
LLNL/AMPE
Adaptive Mesh Phase-field Evolution
liweiliu-ntu/ACMT_Short_Course_CP
Codes for ACMT short course "Computational Plasticity"
ORNL/AdditiveFOAM
Software to simulate heat transfer and fluid flow in additive manufacturing using OpenFOAM
tldr-group/microlib
generate dataset for microlib.io
LLNL/ExaConstit
A crystal plasticity FEM code that runs on the GPU
ORNL/TASMANIAN
The Toolkit for Adaptive Stochastic Modeling and Non-Intrusive ApproximatioN
LLNL/ExaCA-Data
HighTempIntegrity/JianTang-NCA01
shashankhr/umatic
CA code for microstructural modelling
hugary1995/raccoon
Massively parallel FEM code for phase-field for fracture by Dolbow Lab at Duke University
sundmanbo/opencalphad
Open Calphad, thermodynamic calculation code
UMThorntonGroup/Hyrax
Repository for creating a new MOOSE based application
pycalphad/pycalphad
CALPHAD tools for designing thermodynamic models, calculating phase diagrams and investigating phase equilibria.
tkphd/KKS-binary-solidification
Phase field model for binary solidification using Kim-Kim-Suzuki interface description
LLNL/ExaCA
Cellular automata code for alloy nucleation and solidification written with Kokkos
idaholab/moose
Multiphysics Object Oriented Simulation Environment
LivingMatterLab/xPINNs
when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/10.1016/j.cma.2022.115346
fem-on-colab/fem-on-colab
maziarraissi/PINNs
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
WillKoehrsen/feature-selector
Feature selector is a tool for dimensionality reduction of machine learning datasets
Jack-Cherish/Deep-Learning
:computer:深度学习实战:手写数字识别、Discuz验证码识别、垃圾分类、语义分割