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

Journal Article (Journal Article)

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 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 .

Full Text

Duke Authors

Cited Authors

  • 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 Date

  • December 2018

Published In

Volume / Issue

  • 58 / 12

Start / End Page

  • 2477 - 2490

PubMed ID

  • 30188699

Electronic International Standard Serial Number (EISSN)

  • 1549-960X

International Standard Serial Number (ISSN)

  • 1549-9596

Digital Object Identifier (DOI)

  • 10.1021/acs.jcim.8b00393


  • eng