arrow
Return

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

delete2018-09-06
delete80
delete
OA
AI
C
Corey Oses
E
Eric Gossett
D
David Hicks
F
Frisco Rose
M
Michael J. Mehl
E
Eric Perim
I
Ichiro Takeuchi
S
Stefano Sanvito
M
Matthias Scheffler
Y
Yoav Lederer
O
Ohad Levy
C
Cormac Toher
S
Stefano Curtarolo *
DOI:10.1021/acs.jcim.8b00393delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
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.
Keywords:
CRYSTAL-STRUCTURE
ORDERED STRUCTURES
BINARY-ALLOYS
SEARCH
COMBINATORIAL
TERNARY
AFLOWLIB.ORG
CHALLENGES
STANDARD
DATABASE
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Journal of Chemical Information and Modeling cover
Journal of Chemical Information and Modeling
IF:
5.3
Papers:
9.1K
Citations:
4.0W

Organization

D
Duke University
Scholars:
6.3W
Papers: 5.7W
Citations: 6.5W
United States Navy cover
United States Navy
Scholars:
6.7K
Papers: 5.5K
Citations: 175
University System of Maryland cover
University System of Maryland
Scholars:
6.4W
Papers: 5.6W
Citations: 113
United States Department of Defense cover
United States Department of Defense
Scholars:
2.8W
Papers: 2.3W
Citations: 172
researcher View more organizations