Skip to content
/ PGCGM Public
forked from MilesZhao/PGCGM

Source code for generating materials with 20 space groups using PGCGM

License

Notifications You must be signed in to change notification settings

hyunp2/PGCGM

 
 

Repository files navigation

PGCGM:

Physics Guided Generative Adversarial Networks for Generations of Crystal Materials with High Symmetry Constraints

Created by Yong Zhao

Introduction

This repository contains the implementation of generation code of PGCGM.

Prerequisites

python 3.8
pymatgen==2022.0.6
torch==1.7.1+cu110
torchaudio==0.7.2
torchvision==0.8.2+cu110
numpy==1.19.5
scipy==1.6.0

we recommend that you build a virtural environment running the code. Then you just run sh/gen.sh to start to generate virtual materials.

About

Source code for generating materials with 20 space groups using PGCGM

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 98.7%
  • Shell 1.3%