Pyth-MPG

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Andrea Urru, Turan Birol, Trey Cole, David H. Vanderbilt
DOI: 10.5281/zenodo.18672613
Cited by: 0

Abstract

This project provides a suite of Python codes capable of screening all of the 122 magnetic point groups (MPGs) according to the types of tensorial properties that are supported under the symmetries of each group. In particular, the codes can be used to generate data that can be used to build Excel spreadsheets capable of similar screening operations. A selection of spreadsheets constructed in this way is provided as part of the distribution.

Fields of Study & Subjects

Advanced Condensed Matter Physics Machine Learning in Materials Science Multiferroics and related materials

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
21 February 2026
Language
EN