KeyuShiNUAA
Student of Nanjing University of Aeronautics and Astronaut
Nanjing University of Aeronautics and Astronautics
Pinned Repositories
BIRD-GP
Python module for Bayesian Image-on-image Regression via Deep kernel learning based Gaussian Processes
CrystalPlasticity
CP UMAT and CZM UEL for Abaqus
deep-learning-for-indentation
Extraction of mechanical properties of materials through deep learning from instrumented indentation
directional_solidification_lammps
Heterogeneous-Virtual-Growth
Generates patterns with seamlessly connected building blocks
IB-LBMtest
采用Julia多线程，对在保守体积力下的粒子-流体，粒子-粒子相互作用进行LBM模拟。
LaserbeamFoam
Laser Ray Tracing Implementation and fluid flow simulation framework for Additive Manufacturing, laser welding, laser drilling applications
LatticeLib
Modelling and measurement tools for strut-based lattice structures. Written in MATLAB (v2020b).
NumericalMethods
Contains Jupyter notebooks and other materials prepared for the course Numerical Methods offered at TIFR Hyderabad (https://moldis-group.github.io/teaching.html)
pyfmm
Python module implementing the Fast Marching Method. Only dependency is numpy 1.8+.
KeyuShiNUAA's Repositories
KeyuShiNUAA/BIRD-GP
Python module for Bayesian Image-on-image Regression via Deep kernel learning based Gaussian Processes
KeyuShiNUAA/CrystalPlasticity
CP UMAT and CZM UEL for Abaqus
KeyuShiNUAA/deep-learning-for-indentation
Extraction of mechanical properties of materials through deep learning from instrumented indentation
KeyuShiNUAA/directional_solidification_lammps
KeyuShiNUAA/Heterogeneous-Virtual-Growth
Generates patterns with seamlessly connected building blocks
KeyuShiNUAA/IB-LBMtest
采用Julia多线程，对在保守体积力下的粒子-流体，粒子-粒子相互作用进行LBM模拟。
KeyuShiNUAA/LaserbeamFoam
Laser Ray Tracing Implementation and fluid flow simulation framework for Additive Manufacturing, laser welding, laser drilling applications
KeyuShiNUAA/LatticeLib
Modelling and measurement tools for strut-based lattice structures. Written in MATLAB (v2020b).
KeyuShiNUAA/NumericalMethods
Contains Jupyter notebooks and other materials prepared for the course Numerical Methods offered at TIFR Hyderabad (https://moldis-group.github.io/teaching.html)
KeyuShiNUAA/pyfmm
Python module implementing the Fast Marching Method. Only dependency is numpy 1.8+.