George XIONG's repositories
Dataset-for-metallic-glasses
Original Data
madb
the hong kong polytechnic university material database
Language:PythonGPL-3.0000
GPL-3.0000
GPL-3.0000
Language:PythonGPL-3.0000
SFE
This repository is the supplemental data and code for the journal paper "A Data-driven Machine Learning approach to predicting Stacking Fault Energy in Austenitic Steels".
Language:Jupyter Notebook000
SISSO
A data-driven method based on compressed-sensing for identifying descriptors for materials properties and functions
Language:FortranApache-2.0000