Literature DB >> 29724965

AFLOW-SYM: platform for the complete, automatic and self-consistent symmetry analysis of crystals.

David Hicks1, Corey Oses1, Eric Gossett1, Geena Gomez1, Richard H Taylor1, Cormac Toher1, Michael J Mehl2, Ohad Levy1, Stefano Curtarolo1.   

Abstract

Determination of the symmetry profile of structures is a persistent challenge in materials science. Results often vary amongst standard packages, hindering autonomous materials development by requiring continuous user attention and educated guesses. This article presents a robust procedure for evaluating the complete suite of symmetry properties, featuring various representations for the point, factor and space groups, site symmetries and Wyckoff positions. The protocol determines a system-specific mapping tolerance that yields symmetry operations entirely commensurate with fundamental crystallographic principles. The self-consistent tolerance characterizes the effective spatial resolution of the reported atomic positions. The approach is compared with the most used programs and is successfully validated against the space-group information provided for over 54 000 entries in the Inorganic Crystal Structure Database (ICSD). Subsequently, a complete symmetry analysis is applied to all 1.7+ million entries of the AFLOW data repository. The AFLOW-SYM package has been implemented in, and made available for, public use through the automated ab initio framework AFLOW.

Keywords:  AFLOW-SYM; automation; crystal structure analysis; materials genomics

Year:  2018        PMID: 29724965     DOI: 10.1107/S2053273318003066

Source DB:  PubMed          Journal:  Acta Crystallogr A Found Adv        ISSN: 2053-2733            Impact factor:   2.290


  6 in total

1.  Indexing grazing-incidence X-ray diffraction patterns of thin films: lattices of higher symmetry.

Authors:  Josef Simbrunner; Sebastian Hofer; Benedikt Schrode; Yves Garmshausen; Stefan Hecht; Roland Resel; Ingo Salzmann
Journal:  J Appl Crystallogr       Date:  2019-04-01       Impact factor: 4.868

Review 2.  Data-Driven Materials Science: Status, Challenges, and Perspectives.

Authors:  Lauri Himanen; Amber Geurts; Adam Stuart Foster; Patrick Rinke
Journal:  Adv Sci (Weinh)       Date:  2019-09-01       Impact factor: 16.806

3.  Recent trends in crystallography - a current IUCr journals perspective.

Authors:  Andrew J Allen
Journal:  IUCrJ       Date:  2019-11-01       Impact factor: 4.769

4.  Rapid discovery of stable materials by coordinate-free coarse graining.

Authors:  Rhys E A Goodall; Abhijith S Parackal; Felix A Faber; Rickard Armiento; Alpha A Lee
Journal:  Sci Adv       Date:  2022-07-27       Impact factor: 14.957

5.  Plasmonic high-entropy carbides.

Authors:  Arrigo Calzolari; Corey Oses; Cormac Toher; Marco Esters; Xiomara Campilongo; Sergei P Stepanoff; Douglas E Wolfe; Stefano Curtarolo
Journal:  Nat Commun       Date:  2022-10-11       Impact factor: 17.694

6.  Insightful classification of crystal structures using deep learning.

Authors:  Angelo Ziletti; Devinder Kumar; Matthias Scheffler; Luca M Ghiringhelli
Journal:  Nat Commun       Date:  2018-07-17       Impact factor: 14.919

  6 in total

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