This repository is a one stop solution for getting material properties with ML models while contributing to a community database.
It is as simple as opening an issue and uploading a ZIP file with atomic structures in POSCAR
or CIF
format! One you do it, your atomic structures will be processed through several tools, described below, and returned a neat Markdown report.
pySIPFENN
framework, returning (1) array of descriptors (feature vectors) in Numpy .npy
and CSV
formats you can use for your ML modelling, alongside formation energy predictions.ALIGNN
framework, returing (1) results from 7 ALIGNN models specified here and (2) compressed graph representation files.CHGNet
model, returing (1) energy prediction for your input, (2) CHGNet-relaxed structures in the same format (POSCAR
/CIF
)as your input, and (3) energy prediction for the relaxed structures.Notes: