Published March 20, 2025 | Version 1.0.0
Model Open

SETC-GAT

Authors/Creators

  • 1. ROR icon University of Ottawa

Description

Pretrained graph attention (GAT) models for Structure Error Type Classification (SETC) as outlined in the following article:

Generalizable classification of crystal structure error types using graph attention networks (https://doi.org/10.1039/D5TA05426E)

Further description of the use of these models is provided in the accompanying GitHub repository (https://github.com/uowoolab/SETC-GAT)

Files

models.zip

Files (3.6 GB)

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Additional details

Identifiers

DOI
10.1039/D5TA05426E

Software

Repository URL
https://github.com/uowoolab/SETC-GAT/
Development Status
Active