MGEdata's repositories
SuperalloyDigger
The functions of superalloyDigger toolkit include batch downloading documents in XML and TXT format from the Elsevier database, locating target sentences from the full text and automatically extracting triple information in the form of <material name, property specifier, value>.
Action_extractor
We propose a semi-supervised text mining method to capture alloy synthesis and processing insights.
featurebox
Featurebox is a open Python library that implements a comprehensive set of machine learning tools for materials informatics.
fastgplearn
Fast fitting formula.
multiego
This is a Global optimization algorithm named EGO.
Superalloydigger_HEAs_use_case
The use case of Superalloydigger in high entropy alloys.
electrocatalysis-ML
Electrocatalytic integration framework
share_pack
(代码共享) Code share, the generic code will remove and create the package separately