Literature DB >> 23628772

In silico optimization of phase-change materials for digital memories: a survey of first-row transition-metal dopants for Ge₂Sb₂Te₅.

J M Skelton1, S R Elliott.   

Abstract

Phase-change materials are the alloys at the heart of an emerging class of next-generation, non-volatile digital memory technologies. However, the widely studied Ge-Sb-Te system possesses several undesirable properties, and enhancing its properties, e.g. by doping, is an area of active research. Various first-row transition-metal dopants have been shown to impart useful property enhancements, but a systematic study of the entire period has yet to be undertaken, and little has been done to investigate their interaction with the host material at the atomic level. We have carried out first-principles computer simulations of the complete phase-change cycle in Ge2Sb2Te5 doped with each of the ten first-row transition metals. In this article, we present a comprehensive survey of the electronic, magnetic and optical properties of these doped materials. We discuss in detail their atomic-level structure, and relate the microscopic behaviours of the dopant atoms to their influence on the Ge2Sb2Te5 host. By considering an entire family of similar materials, we identify trends and patterns which might be used to predict suitable dopants for optimizing materials for specific phase-change applications. The computational method employed here is general, and this materials-discovery approach could be applied in the future to study other families of potential dopants for such materials.

Entities:  

Year:  2013        PMID: 23628772     DOI: 10.1088/0953-8984/25/20/205801

Source DB:  PubMed          Journal:  J Phys Condens Matter        ISSN: 0953-8984            Impact factor:   2.333


  1 in total

1.  Giant multiferroic effects in topological GeTe-Sb2Te3 superlattices.

Authors:  Junji Tominaga; Alexander V Kolobov; Paul J Fons; Xiaomin Wang; Yuta Saito; Takashi Nakano; Muneaki Hase; Shuichi Murakami; Jens Herfort; Yukihiko Takagaki
Journal:  Sci Technol Adv Mater       Date:  2015-01-13       Impact factor: 8.090

  1 in total

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