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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Main Authors: David Hicks, Cormac Toher, Denise C. Ford, Frisco Rose, Carlo De Santo, Ohad Levy, Michael J. Mehl, Stefano Curtarolo
Format: Article
Language:English
Published: Nature Publishing Group 2021-02-01
Series:npj Computational Materials
Online Access:https://doi.org/10.1038/s41524-020-00483-4
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spelling doaj-d8001da29b72409fb3015c4384d782272021-02-14T12:19:56ZengNature Publishing Groupnpj Computational Materials2057-39602021-02-017112010.1038/s41524-020-00483-4AFLOW-XtalFinder: a reliable choice to identify crystalline prototypeDavid Hicks0Cormac Toher1Denise C. Ford2Frisco Rose3Carlo De Santo4Ohad Levy5Michael J. Mehl6Stefano Curtarolo7Department of Mechanical Engineering and Materials Science, Duke UniversityDepartment of Mechanical Engineering and Materials Science, Duke UniversityDepartment of Mechanical Engineering and Materials Science, Duke UniversityDepartment of Mechanical Engineering and Materials Science, Duke UniversityDepartment of Mechanical Engineering and Materials Science, Duke UniversityDepartment of Mechanical Engineering and Materials Science, Duke UniversityDepartment of Mechanical Engineering and Materials Science, Duke UniversityDepartment of Mechanical Engineering and Materials Science, Duke UniversityAbstract 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.https://doi.org/10.1038/s41524-020-00483-4
collection DOAJ
language English
format Article
sources DOAJ
author David Hicks
Cormac Toher
Denise C. Ford
Frisco Rose
Carlo De Santo
Ohad Levy
Michael J. Mehl
Stefano Curtarolo
spellingShingle 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
npj Computational Materials
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 Publishing Group
series npj Computational Materials
issn 2057-3960
publishDate 2021-02-01
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.
url https://doi.org/10.1038/s41524-020-00483-4
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