Title of article :
AFLOW: An automatic framework for high-throughput materials discovery
Author/Authors :
Curtarolo، نويسنده , , Stefano and Setyawan، نويسنده , , Wahyu and Hart، نويسنده , , Gus L.W. and Jahnatek، نويسنده , , Michal and Chepulskii، نويسنده , , Roman V. and Taylor، نويسنده , , Richard H. and Wang، نويسنده , , Shidong and Xue، نويسنده , , Junkai and Yang، نويسنده , , Kesong and Levy، نويسنده , , Ohad and Mehl، نويسنده , , Michael J. and Stokes، نويسنده , , Harold T. and Demchenko، نويسنده , , Deni، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2012
Pages :
9
From page :
218
To page :
226
Abstract :
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.
Keywords :
High-Throughput , Ab initio , Combinatorial materials science , AFLOW
Journal title :
Computational Materials Science
Serial Year :
2012
Journal title :
Computational Materials Science
Record number :
1689658
Link To Document :
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