Computational Screening of All Stoichiometric Inorganic Materials

被引:138
作者
Davies, Daniel W. [1 ]
Butler, Keith T. [1 ]
Jackson, Adam J. [1 ]
Morris, Andrew [1 ]
Frost, Jarvist M. [1 ]
Skelton, Jonathan M. [1 ]
Walsh, Aron [1 ,2 ,3 ]
机构
[1] Univ Bath, Dept Chem, Ctr Sustainable Chem Technol, Bath, Avon, England
[2] Yonsei Univ, Dept Mat Sci & Engn, Global Inst E3, Seoul 120749, South Korea
[3] Imperial Coll London, Dept Mat, Exhibit Rd, London SW7 2AZ, England
基金
欧洲研究理事会; 英国工程与自然科学研究理事会;
关键词
CRYSTAL-STRUCTURE; PREDICTION; ELECTRONEGATIVITY; PEROVSKITES; ENERGIES; POTENTIALS; PRINCIPLES; SULFUR; RADII;
D O I
10.1016/j.chempr.2016.09.010
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Forming a four-component compound from the first 103 elements of the periodic table results in more than 10 12 combinations. Such a materials space is intractable to high-throughput experiment or first-principle computation. We introduce a framework to address this problem and quantify how many materials can exist. We apply principles of valency and electronegativity to filter chemically implausible compositions, which reduces the inorganic quaternary space to 10 10 combinations. We demonstrate that estimates of band gaps and absolute electron energies can be made simply on the basis of the chemical composition and apply this to the search for new semiconducting materials to support the photoelectrochemical splitting of water. We show the applicability to predicting crystal structure by analogy with known compounds, including exploration of the phase space for ternary combinations that form a perovskite lattice. Computer screening reproduces known perovskite materials and predicts the feasibility of thousands more. Given the simplicity of the approach, large-scale searches can be performed on a single workstation.
引用
收藏
页码:617 / 627
页数:11
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