Literature DB >> 30188699

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

Corey Oses1, Eric Gossett1, David Hicks1, Frisco Rose1, Michael J Mehl2, Eric Perim1, Ichiro Takeuchi3,4, Stefano Sanvito5, Matthias Scheffler6, Yoav Lederer1,7, Ohad Levy1,7, Cormac Toher1, Stefano Curtarolo1,6.   

Abstract

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 .

Mesh:

Year:  2018        PMID: 30188699     DOI: 10.1021/acs.jcim.8b00393

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  5 in total

Review 1.  QSAR without borders.

Authors:  Eugene N Muratov; Jürgen Bajorath; Robert P Sheridan; Igor V Tetko; Dmitry Filimonov; Vladimir Poroikov; Tudor I Oprea; Igor I Baskin; Alexandre Varnek; Adrian Roitberg; Olexandr Isayev; Stefano Curtarolo; Denis Fourches; Yoram Cohen; Alan Aspuru-Guzik; David A Winkler; Dimitris Agrafiotis; Artem Cherkasov; Alexander Tropsha
Journal:  Chem Soc Rev       Date:  2020-05-01       Impact factor: 54.564

2.  High-entropy high-hardness metal carbides discovered by entropy descriptors.

Authors:  Pranab Sarker; Tyler Harrington; Cormac Toher; Corey Oses; Mojtaba Samiee; Jon-Paul Maria; Donald W Brenner; Kenneth S Vecchio; Stefano Curtarolo
Journal:  Nat Commun       Date:  2018-11-26       Impact factor: 14.919

3.  Crystal graph attention networks for the prediction of stable materials.

Authors:  Jonathan Schmidt; Love Pettersson; Claudio Verdozzi; Silvana Botti; Miguel A L Marques
Journal:  Sci Adv       Date:  2021-12-03       Impact factor: 14.136

4.  A dataset of 175k stable and metastable materials calculated with the PBEsol and SCAN functionals.

Authors:  Jonathan Schmidt; Hai-Chen Wang; Tiago F T Cerqueira; Silvana Botti; Miguel A L Marques
Journal:  Sci Data       Date:  2022-03-02       Impact factor: 6.444

5.  Plasmonic high-entropy carbides.

Authors:  Arrigo Calzolari; Corey Oses; Cormac Toher; Marco Esters; Xiomara Campilongo; Sergei P Stepanoff; Douglas E Wolfe; Stefano Curtarolo
Journal:  Nat Commun       Date:  2022-10-11       Impact factor: 17.694

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.