Abstract
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, thermomechanical properties, and more. The AFLOW data repository is publicly accessible online at aflow.org, with more than 1.8 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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Acknowledgements
The authors acknowledge support from DOD-ONR (N00014-13-1-0030, N00014-13-1-0635, N00014-17-1-2090, N00014-16-1-2781, N00014-15-1-2583, N00014-15-1-2266), DOE (DE-AC02-05CH11231, specifically BES Grant # EDCBEE), and the Duke University Center for Materials Genomics. SC acknowledges support by the Alexander von Humboldt-Foundation – Max Planck Society (Fritz-Haber-Institut der Max-Planck-Gesellschaft, Berlin-Dahlem, Germany). CO acknowledges support from the National Science Foundation Graduate Research Fellowship under Grant No. DGF-1106401. AFLOW calculations were performed at the Duke University Center for Materials Genomics and at the Fulton Supercomputer Lab – Brigham Young University. The authors thank Amir Natan, Matthias Scheffler, Luca Ghiringhelli, Kenneth Vecchio, Don Brenner, and Jon-Paul Maria for helpful discussions.
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Toher, C. et al. (2018). The AFLOW Fleet for Materials Discovery. In: Andreoni, W., Yip, S. (eds) Handbook of Materials Modeling . Springer, Cham. https://doi.org/10.1007/978-3-319-42913-7_63-1
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The AFLOW Fleet for Materials Discovery- Published:
- 07 February 2019
DOI: https://doi.org/10.1007/978-3-319-42913-7_63-2
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The AFLOW Fleet for Materials Discovery- Published:
- 14 September 2018
DOI: https://doi.org/10.1007/978-3-319-42913-7_63-1