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Computational Screening of All Stoichiometric Inorganic Materials

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 mat...

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Detalles Bibliográficos
Autores principales: Davies, Daniel W., Butler, Keith T., Jackson, Adam J., Morris, Andrew, Frost, Jarvist M., Skelton, Jonathan M., Walsh, Aron
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5074417/
https://www.ncbi.nlm.nih.gov/pubmed/27790643
http://dx.doi.org/10.1016/j.chempr.2016.09.010
Descripción
Sumario: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.