AFLOW: An automatic framework for high-throughput materials discovery

Recent advances in computational materials science present novel opportunities for structure discovery and optimization, including uncovering of unsuspected compounds and metastable structures, electronic structure, surface, and nano-particle properties. The practical realization of these opportunit...

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Published inarXiv.org
Main Authors Curtarolo, Stefano, Setyawan, Wahyu, Hart, Gus L W, Jahnatek, Michal, Chepulskii, Roman V, Taylor, Richard H, Wang, Shidong, Xue, Junkai, Yang, Kesong, Levy, Ohad, Mehl, Michael J, Stokes, Harold T, Demchenko, Denis O, Morgan, Dane
Format Paper Journal Article
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 26.08.2013
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Summary:Recent advances in computational materials science present novel opportunities for structure discovery and optimization, including uncovering of unsuspected compounds and metastable structures, electronic structure, surface, and nano-particle properties. The practical realization of these opportunities requires systematic generation and classification of the relevant computational data by high-throughput methods. In this paper we present Aflow (Automatic Flow), a software framework for high-throughput calculation of crystal structure properties of alloys, intermetallics and inorganic compounds. The Aflow software is available for the scientific community on the website of the materials research consortium, aflowlib.org. Its geometric and electronic structure analysis and manipulation tools are additionally available for online operation at the same website. The combination of automatic methods and user online interfaces provide a powerful tool for efficient quantum computational materials discovery and characterization.
ISSN:2331-8422
DOI:10.48550/arxiv.1308.5715