Pinned Repositories
CCAs
Dataset-for-metallic-glasses
Original Data
madb
the hong kong polytechnic university material database
ML-BGMs
ML-HiTA
py4DSTEM
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".
SISSO
A data-driven method based on compressed-sensing for identifying descriptors for materials properties and functions
GeorgeHSIUNG's Repositories
GeorgeHSIUNG/Dataset-for-metallic-glasses
Original Data
GeorgeHSIUNG/CCAs
GeorgeHSIUNG/madb
the hong kong polytechnic university material database
GeorgeHSIUNG/ML-BGMs
GeorgeHSIUNG/ML-HiTA
GeorgeHSIUNG/py4DSTEM
GeorgeHSIUNG/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".
GeorgeHSIUNG/SISSO
A data-driven method based on compressed-sensing for identifying descriptors for materials properties and functions