AFLOW-XtalFinder: a reliable choice to identify crystalline prototype

Abstract The accelerated growth rate of repository entries in crystallographic databases makes it arduous to identify and classify their prototype structures. The open-source AFLOW-XtalFinder package was developed to solve this problem. It symbolically maps structures into standard designations foll...

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Autores principales: David Hicks, Cormac Toher, Denise C. Ford, Frisco Rose, Carlo De Santo, Ohad Levy, Michael J. Mehl, Stefano Curtarolo
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/d8001da29b72409fb3015c4384d78227
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spelling oai:doaj.org-article:d8001da29b72409fb3015c4384d782272021-12-02T14:10:59ZAFLOW-XtalFinder: a reliable choice to identify crystalline prototype10.1038/s41524-020-00483-42057-3960https://doaj.org/article/d8001da29b72409fb3015c4384d782272021-02-01T00:00:00Zhttps://doi.org/10.1038/s41524-020-00483-4https://doaj.org/toc/2057-3960Abstract The accelerated growth rate of repository entries in crystallographic databases makes it arduous to identify and classify their prototype structures. The open-source AFLOW-XtalFinder package was developed to solve this problem. It symbolically maps structures into standard designations following the AFLOW Prototype Encyclopedia and calculates the internal degrees of freedom consistent with the International Tables for Crystallography. To ensure uniqueness, structures are analyzed and compared via symmetry, local atomic geometries, and crystal mapping techniques, simultaneously grouping them by similarity. The software (i) distinguishes distinct crystal prototypes and atom decorations, (ii) determines equivalent spin configurations, (iii) reveals compounds with similar properties, and (iv) guides the discovery of unexplored materials. The operations are accessible through a Python module ready for workflows, and through command line syntax. All the 4+ million compounds in the AFLOW.org repositories are mapped to their ideal prototype, allowing users to search database entries via symbolic structure-type. Furthermore, 15,000 unique structures — sorted by prevalence — are extracted from the AFLOW-ICSD catalog to serve as future prototypes in the Encyclopedia.David HicksCormac ToherDenise C. FordFrisco RoseCarlo De SantoOhad LevyMichael J. MehlStefano CurtaroloNature PortfolioarticleMaterials of engineering and construction. Mechanics of materialsTA401-492Computer softwareQA76.75-76.765ENnpj Computational Materials, Vol 7, Iss 1, Pp 1-20 (2021)
institution DOAJ
collection DOAJ
language EN
topic Materials of engineering and construction. Mechanics of materials
TA401-492
Computer software
QA76.75-76.765
spellingShingle Materials of engineering and construction. Mechanics of materials
TA401-492
Computer software
QA76.75-76.765
David Hicks
Cormac Toher
Denise C. Ford
Frisco Rose
Carlo De Santo
Ohad Levy
Michael J. Mehl
Stefano Curtarolo
AFLOW-XtalFinder: a reliable choice to identify crystalline prototype
description Abstract The accelerated growth rate of repository entries in crystallographic databases makes it arduous to identify and classify their prototype structures. The open-source AFLOW-XtalFinder package was developed to solve this problem. It symbolically maps structures into standard designations following the AFLOW Prototype Encyclopedia and calculates the internal degrees of freedom consistent with the International Tables for Crystallography. To ensure uniqueness, structures are analyzed and compared via symmetry, local atomic geometries, and crystal mapping techniques, simultaneously grouping them by similarity. The software (i) distinguishes distinct crystal prototypes and atom decorations, (ii) determines equivalent spin configurations, (iii) reveals compounds with similar properties, and (iv) guides the discovery of unexplored materials. The operations are accessible through a Python module ready for workflows, and through command line syntax. All the 4+ million compounds in the AFLOW.org repositories are mapped to their ideal prototype, allowing users to search database entries via symbolic structure-type. Furthermore, 15,000 unique structures — sorted by prevalence — are extracted from the AFLOW-ICSD catalog to serve as future prototypes in the Encyclopedia.
format article
author David Hicks
Cormac Toher
Denise C. Ford
Frisco Rose
Carlo De Santo
Ohad Levy
Michael J. Mehl
Stefano Curtarolo
author_facet David Hicks
Cormac Toher
Denise C. Ford
Frisco Rose
Carlo De Santo
Ohad Levy
Michael J. Mehl
Stefano Curtarolo
author_sort David Hicks
title AFLOW-XtalFinder: a reliable choice to identify crystalline prototype
title_short AFLOW-XtalFinder: a reliable choice to identify crystalline prototype
title_full AFLOW-XtalFinder: a reliable choice to identify crystalline prototype
title_fullStr AFLOW-XtalFinder: a reliable choice to identify crystalline prototype
title_full_unstemmed AFLOW-XtalFinder: a reliable choice to identify crystalline prototype
title_sort aflow-xtalfinder: a reliable choice to identify crystalline prototype
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/d8001da29b72409fb3015c4384d78227
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