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  AFLOW-CHULL: Cloud-Oriented Platform for Autonomous Phase Stability Analysis

Oses, C., Gossett, E., Hicks, D., Rose, F., Mehl, M. J., Perim, E., et al. (2018). AFLOW-CHULL: Cloud-Oriented Platform for Autonomous Phase Stability Analysis. Journal of Chemical Information and Modeling, 58(12), 2477-2490. doi:10.1021/acs.jcim.8b00393.

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1806.06901.pdf (Preprint), 5MB
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 Urheber:
Oses, Corey1, Autor
Gossett, Eric1, Autor
Hicks, David1, Autor
Rose, Frisco1, Autor
Mehl, Michael J.2, Autor
Perim, Eric1, Autor
Takeuchi, Ichiro3, 4, Autor
Sanvito, Stefano5, Autor
Scheffler, Matthias6, Autor           
Lederer, Yoav1, 7, Autor
Levy, Ohad1, 7, Autor
Toher, Cormac1, Autor
Curtarolo, Stefano1, 6, Autor           
Affiliations:
1Department of Mechanical Engineering and Materials Science and Center for Materials Genomics, Duke University, Durham, North Carolina 27708, USA, ou_persistent22              
2United States Naval Academy, Annapolis, Maryland 21402, USA, ou_persistent22              
3Department of Materials Science and Engineering, University of Maryland, College Park, Maryland 20742-4111, USA, ou_persistent22              
4Center for Nanophysics and Advanced Materials, University of Maryland, College Park, Maryland 20742, USA, ou_persistent22              
5School of Physics, AMBER and CRANN Institute, Trinity College, Dublin 2, Ireland, ou_persistent22              
6Theory, Fritz Haber Institute, Max Planck Society, ou_634547              
7Department of Physics, NRCN, P.O. Box 9001, Beer-Sheva 84190, Israel, ou_persistent22              

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Schlagwörter: Condensed Matter, Materials Science, cond-mat.mtrl-sci
 Zusammenfassung: A priori prediction of phase stability of materials is a challenging practice, requiring knowledge of all energetically-competing
structures at formation conditions. Large materials repositories - housing properties of both experimental and hypothetical
compounds - offer a path to prediction through the construction of informatics-based, ab-initio phase diagrams. However, limited access to relevant data and software infrastructure has rendered thermodynamic
characterizations largely peripheral, despite their continued success in dictating synthesizability. Herein, a new module is presented for autonomous thermodynamic stability analysis implemented within the open-source, ab-initio framework AFLOW. Powered by the AFLUX Search-API,
AFLOW-CHULL leverages data of more than 1.8 million compounds currently
characterized in the AFLOW.org repository and can be employed locally from any
UNIX-like computer. The module integrates a range of functionality: the identification of stable phases and equivalent structures, phase coexistence, measures for robust stability, and determination of decomposition reactions. As a proof-of-concept, thorough thermodynamic characterizations have been
performed for more than 1,300 binary and ternary systems, enabling the identification of several candidate phases for synthesis based on their relative stability criterion - including 18 promising C15b-type structures and two half-Heuslers. In addition to a full report
included herein, an interactive, online web application has been developed showcasing the results of the analysis, and is located at
aflow.org/aflow-chull.

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Sprache(n): eng - English
 Datum: 2018-06-182018-06-182018-09-062018-12-24
 Publikationsstatus: Erschienen
 Seiten: 14
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Art des Abschluß: -

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Quelle 1

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Titel: Journal of Chemical Information and Modeling
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Washington, D.C. : American Chemical Society
Seiten: 14 Band / Heft: 58 (12) Artikelnummer: - Start- / Endseite: 2477 - 2490 Identifikator: ISSN: 1549-9596
CoNE: https://pure.mpg.de/cone/journals/resource/954925465222