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

Publication ,  Journal Article
Oses, C; Gossett, E; Hicks, D; Rose, F; Mehl, MJ; Perim, E; Takeuchi, I; Sanvito, S; Scheffler, M; Lederer, Y; Levy, O; Toher, C; Curtarolo, S
Published in: Journal of chemical information and modeling
December 2018

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 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, thermodynamic characterizations have been performed for more than 1300 binary and ternary systems, enabling the identification of several candidate phases for synthesis based on their relative stability criterion-including 17 promising C15 b-type structures and 2 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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Published In

Journal of chemical information and modeling

DOI

EISSN

1549-960X

ISSN

1549-9596

Publication Date

December 2018

Volume

58

Issue

12

Start / End Page

2477 / 2490

Related Subject Headings

  • Thermodynamics
  • Software
  • Models, Chemical
  • Medicinal & Biomolecular Chemistry
  • Materials Science
  • Informatics
  • Drug Discovery
  • Computer Simulation
  • 3407 Theoretical and computational chemistry
  • 3404 Medicinal and biomolecular chemistry
 

Citation

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Oses, C., Gossett, E., Hicks, D., Rose, F., Mehl, M. J., Perim, E., … Curtarolo, S. (2018). AFLOW-CHULL: Cloud-Oriented Platform for Autonomous Phase Stability Analysis. Journal of Chemical Information and Modeling, 58(12), 2477–2490. https://doi.org/10.1021/acs.jcim.8b00393
Oses, Corey, Eric Gossett, David Hicks, Frisco Rose, Michael J. Mehl, Eric Perim, Ichiro Takeuchi, et al. “AFLOW-CHULL: Cloud-Oriented Platform for Autonomous Phase Stability Analysis.Journal of Chemical Information and Modeling 58, no. 12 (December 2018): 2477–90. https://doi.org/10.1021/acs.jcim.8b00393.
Oses C, Gossett E, Hicks D, Rose F, Mehl MJ, Perim E, et al. AFLOW-CHULL: Cloud-Oriented Platform for Autonomous Phase Stability Analysis. Journal of chemical information and modeling. 2018 Dec;58(12):2477–90.
Oses, Corey, et al. “AFLOW-CHULL: Cloud-Oriented Platform for Autonomous Phase Stability Analysis.Journal of Chemical Information and Modeling, vol. 58, no. 12, Dec. 2018, pp. 2477–90. Epmc, doi:10.1021/acs.jcim.8b00393.
Oses C, Gossett E, Hicks D, Rose F, Mehl MJ, Perim E, Takeuchi I, Sanvito S, Scheffler M, Lederer Y, Levy O, Toher C, Curtarolo S. AFLOW-CHULL: Cloud-Oriented Platform for Autonomous Phase Stability Analysis. Journal of chemical information and modeling. 2018 Dec;58(12):2477–2490.
Journal cover image

Published In

Journal of chemical information and modeling

DOI

EISSN

1549-960X

ISSN

1549-9596

Publication Date

December 2018

Volume

58

Issue

12

Start / End Page

2477 / 2490

Related Subject Headings

  • Thermodynamics
  • Software
  • Models, Chemical
  • Medicinal & Biomolecular Chemistry
  • Materials Science
  • Informatics
  • Drug Discovery
  • Computer Simulation
  • 3407 Theoretical and computational chemistry
  • 3404 Medicinal and biomolecular chemistry