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JOURNAL ARTICLE
RESEARCH SUPPORT, NON-U.S. GOV'T
Automated first-principles mapping for phase-change materials.
Journal of Computational Chemistry 2017 April 6
Plotting materials on bi-coordinate maps according to physically meaningful descriptors has a successful tradition in computational solid-state science spanning more than four decades. Equipped with new ab initio techniques introduced in this work, we generate an improved version of the treasure map for phase-change materials (PCMs) as introduced previously by Lencer et al. which, other than before, charts all industrially used PCMs correctly. Furthermore, we suggest seven new PCM candidates, namely SiSb4 Te7 , Si2 Sb2 Te5 , SiAs2 Te4 , PbAs2 Te4 , SiSb2 Te4 , Sn2 As2 Te5 , and PbAs4 Te7 , to be used as synthetic targets. To realize aforementioned maps based on orbital mixing (or "hybridization") and ionicity coordinates, structural information was first included into an ab initio numerical descriptor for sp3 orbital mixing and then generalized beyond high-symmetry structures. In addition, a simple, yet powerful quantum-mechanical ionization measure also including structural information was introduced. Taken together, these tools allow for (automatically) generating materials maps solely relying on first-principles calculations. © 2017 Wiley Periodicals, Inc.
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