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Computer-Assisted Inverse Design of Inorganic Electrides

Yunwei Zhang, Hui Wang, Yanchao Wang, Lijun Zhang, and Yanming Ma
Phys. Rev. X 7, 011017 – Published 14 February 2017; Erratum Phys. Rev. X 7, 019903 (2017)
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Abstract

Electrides are intrinsic electron-rich materials enabling applications as excellent electron emitters, superior catalysts, and strong reducing agents. There are a number of organic electrides; however, their instability at room temperature and sensitivity to moisture are bottlenecks for their practical uses. Known inorganic electrides are rare, but they appear to have greater thermal stability at ambient conditions and are thus better characterized for application. Here, we develop a computer-assisted inverse-design method for searching for a large variety of inorganic electrides unbiased by any known electride structures. It uses the intrinsic property of interstitial electron localization of electrides as the global variable function for swarm intelligence structure searches. We construct two rules of thumb on the design of inorganic electrides pointing to electron-rich ionic systems and low electronegativity of the cationic elements involved. By screening 99 such binary compounds through large-scale computer simulations, we identify 24 stable and 65 metastable new inorganic electrides that show distinct three-, two-, and zero-dimensional conductive properties, among which 18 are existing compounds that have not been pointed to as electrides. Our work reveals the rich abundance of inorganic electrides by providing 33 hitherto unexpected structure prototypes of electrides, of which 19 are not in the known structure databases.

    • Received 25 July 2016
    • Corrected 23 February 2017

    DOI:https://doi.org/10.1103/PhysRevX.7.011017

    Published by the American Physical Society under the terms of the Creative Commons Attribution 3.0 License. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI.

    Published by the American Physical Society

    Physics Subject Headings (PhySH)

    Condensed Matter, Materials & Applied Physics

    Corrections

    23 February 2017

    Erratum

    Publisher’s Note: Computer-Assisted Inverse Design of Inorganic Electrides [Phys. Rev. X 7, 011017 (2017)]

    Yunwei Zhang, Hui Wang, Yanchao Wang, Lijun Zhang, and Yanming Ma
    Phys. Rev. X 7, 019903 (2017)

    Authors & Affiliations

    Yunwei Zhang1,2, Hui Wang1, Yanchao Wang1, Lijun Zhang3,1, and Yanming Ma1,2,*

    • 1State Key Lab of Superhard Materials, Jilin University, Changchun 130012, China
    • 2Beijing Computational Science Research Center, Beijing 100084, China
    • 3Key Laboratory of Automobile Materials of MOE and Department of Materials Science, Jilin University, Changchun 130012, China

    • *mym@calypso.cn, mym@jlu.edu.cn

    Popular Summary

    Electrides are crystalline compounds that are rich with electrons. These materials have attracted great attention because they can act as excellent electron emitters, superior catalysts, and strong reducing agents. Organic electrides, in which organic molecules help isolate electrons from positive ions in the crystal, are not stable at room temperature and are sensitive to moisture. Inorganic electrides appear to be better suited to practical applications; however, the search for new materials is challenging. So far, only three kinds of inorganic electrides have been reported. We develop a computer algorithm that can efficiently search for a variety of inorganic electrides and identify 89 new candidates.

    Our technique relies on the principle of inverse design, which starts with a desired property (in our case, a specific electronic trait of electrides) and then searches for materials that have that property. This lets us search for possible inorganic electrides unbiased by preconceived notions of electride structures. The algorithm starts by generating random crystal structures, and then iteratively tweaks those structures, optimizing the desired electronic property. Among the 89 new compounds identified, 18 are existing compounds that have not yet been classified as electrides while the remaining ones have a chance of being synthesized.

    This technique presents a significant advancement toward automated, intelligent design of inorganic electrides. While only a few inorganic electrides are currently known, and their practical applications are limited, we believe our methodology can substantially change this situation.

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    Issue

    Vol. 7, Iss. 1 — January - March 2017

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