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The AFLOW Fleet for Materials Discovery

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arxiv 1712.00422 v1 pith:TJDC73SD submitted 2017-12-01 cond-mat.mtrl-sci

classification cond-mat.mtrl-sci
keywords aflowdatamaterialscomputationaldiscoveryfleetonlineproperties
verification ladder T0 review T1 audit T2 compute T3 formal
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The traditional paradigm for materials discovery has been recently expanded to incorporate substantial data driven research. With the intent to accelerate the development and the deployment of new technologies, the AFLOW Fleet for computational materials design automates high-throughput first principles calculations, and provides tools for data verification and dissemination for a broad community of users. AFLOW incorporates different computational modules to robustly determine thermodynamic stability, electronic band structures, vibrational dispersions, thermo-mechanical properties and more. The AFLOW data repository is publicly accessible online at aflow.org, with more than 1.7 million materials entries and a panoply of queryable computed properties. Tools to programmatically search and process the data, as well as to perform online machine learning predictions, are also available.

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