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Title: Efficient Ab initio Modeling of Random Multicomponent Alloys

Abstract

Here, we present in this Letter a novel small set of ordered structures (SSOS) method that allows extremely efficient ab initio modeling of random multi-component alloys. Using inverse II-III spinel oxides and equiatomic quinary bcc (so-called high entropy) alloys as examples, we also demonstrate that a SSOS can achieve the same accuracy as a large supercell or a well-converged cluster expansion, but with significantly reduced computational cost. In particular, because of this efficiency, a large number of quinary alloy compositions can be quickly screened, leading to the identification of several new possible high entropy alloy chemistries. Furthermore, the SSOS method developed here can be broadly useful for the rapid computational design of multi-component materials, especially those with a large number of alloying elements, a challenging problem for other approaches.

Authors:
 [1];  [1]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Publication Date:
Research Org.:
Idaho National Lab. (INL), Idaho Falls, ID (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22); USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1357610
Alternate Identifier(s):
OSTI ID: 1240764
Report Number(s):
INL/JOU-16-37959
Journal ID: ISSN 0031-9007; PRLTAO
Grant/Contract Number:  
AC07-05ID14517; AC52-06NA25396
Resource Type:
Accepted Manuscript
Journal Name:
Physical Review Letters
Additional Journal Information:
Journal Volume: 116; Journal Issue: 10; Journal ID: ISSN 0031-9007
Publisher:
American Physical Society (APS)
Country of Publication:
United States
Language:
English
Subject:
36 MATERIALS SCIENCE; computational materials science; random alloys

Citation Formats

Jiang, Chao, and Uberuaga, Blas P. Efficient Ab initio Modeling of Random Multicomponent Alloys. United States: N. p., 2016. Web. doi:10.1103/PhysRevLett.116.105501.
Jiang, Chao, & Uberuaga, Blas P. Efficient Ab initio Modeling of Random Multicomponent Alloys. United States. doi:10.1103/PhysRevLett.116.105501.
Jiang, Chao, and Uberuaga, Blas P. Tue . "Efficient Ab initio Modeling of Random Multicomponent Alloys". United States. doi:10.1103/PhysRevLett.116.105501. https://www.osti.gov/servlets/purl/1357610.
@article{osti_1357610,
title = {Efficient Ab initio Modeling of Random Multicomponent Alloys},
author = {Jiang, Chao and Uberuaga, Blas P.},
abstractNote = {Here, we present in this Letter a novel small set of ordered structures (SSOS) method that allows extremely efficient ab initio modeling of random multi-component alloys. Using inverse II-III spinel oxides and equiatomic quinary bcc (so-called high entropy) alloys as examples, we also demonstrate that a SSOS can achieve the same accuracy as a large supercell or a well-converged cluster expansion, but with significantly reduced computational cost. In particular, because of this efficiency, a large number of quinary alloy compositions can be quickly screened, leading to the identification of several new possible high entropy alloy chemistries. Furthermore, the SSOS method developed here can be broadly useful for the rapid computational design of multi-component materials, especially those with a large number of alloying elements, a challenging problem for other approaches.},
doi = {10.1103/PhysRevLett.116.105501},
journal = {Physical Review Letters},
number = 10,
volume = 116,
place = {United States},
year = {2016},
month = {3}
}

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    First-principles-based prediction of yield strength in the RhIrPdPtNiCu high-entropy alloy
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