hityingph
Ph.D. in Mechanics, interested in atomic simulations on physical behavior of solid matter.
Shenzhen
hityingph's Stars
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
magic-wormhole/magic-wormhole
get things from one computer to another, safely
cxli233/FriendsDontLetFriends
Friends don't let friends make certain types of data visualization - What are they and why are they bad.
FAIR-Chem/fairchem
FAIR Chemistry's library of machine learning methods for chemistry
google-deepmind/materials_discovery
grimme-lab/xtb
Semiempirical Extended Tight-Binding Program Package
CederGroupHub/chgnet
Pretrained universal neural network potential for charge-informed atomistic modeling https://chgnet.lbl.gov
dftd4/dftd4
Generally Applicable Atomic-Charge Dependent London Dispersion Correction
SMTG-Bham/doped
doped is a Python software for the generation, pre-/post-processing and analysis of defect supercell calculations, implementing the defect simulation workflow in an efficient, reproducible, user-friendly yet powerful and fully-customisable manner.
leonardodalinky/fpsample
Python efficient farthest point sampling (FPS) library. Compatible with numpy.
kyonofx/MDsim
[TMLR 2023] Training and simulating MD with ML force fields
lammpstutorials/lammpstutorials.github.io
LAMMPS tutorials for both beginners and advanced users
tdep-developers/tdep
The Temperature Dependent Effective Potentials (TDEP) code
bjmorgan/kinisi
A Python package for estimating diffusion properties from molecular dynamics simulations.
BingqingCheng/cace
henriasv/lammps-logfile
Tool to read a logfile produced by LAMMPS into a simple python data structure with a get()-function providing the log data.
Jonsnow-willow/GPUMD-Wizard
Material structure processing software based on ASE (Atomic Simulation Environment)
jla-gardner/load-atoms
⚛ download and manipulate atomistic datasets
ilyes319/mace-tutorials
Collection of tutorials to use the MACE machine learning force field.
microsoft/MOFDiff
Coarse-grained Diffusion for Metal-Organic Framework Design
FrictionTribologyEnigma/slippy
A python 3.7 library for friction, lubrication and contact mechanics models
skelton-group/Phono3py-Power-Tools
Tools for Phono(3)py power users.
Yangxinsix/curator
A flexible workflow for on-the-fly learning of interatomic potential models.
GiovanniBussi/simplemd
A simple Lennard-Jones molecular dynamics software
ASK-Berkeley/StABlE-Training
[TMLR 2025] Stability-Aware Training of Machine Learning Force Fields with Differentiable Boltzmann Estimators
nanotheorygroup/water_ice_nep
Supplement files of paper "Thermodynamics of Water and Ice from a Fast and Scalable First-Principles Neuroevolution Potential"
ecignoni/halex
Hamiltonian Learning for Excited States
XJTU-ICP/mace_lammps_plugin
mcaroba/cl-MDS
Cluster-based multidimensional scaling embedding tool for data visualization
shdchen/vasp_manager
Automatically run VASP relaxation, static, bulk moduli, and elastic calculations