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      High-throughput electronic band structure calculations: challenges and tools

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          Abstract

          The article is devoted to the discussion of the high-throughput approach to band structures calculations. We present scientific and computational challenges as well as solutions relying on the developed framework (Automatic Flow, AFLOW/ACONVASP). The key factors of the method are the standardization and the robustness of the procedures. Two scenarios are relevant: 1) independent users generating databases in their own computational systems (off-line approach) and 2) teamed users sharing computational information based on a common ground (on-line approach). Both cases are integrated in the framework: for off-line approaches, the standardization is automatic and fully integrated for the 14 Bravais lattices, the primitive and conventional unit cells, and the coordinates of the high symmetry k-path in the Brillouin zones. For on-line tasks, the framework offers an expandable web interface where the user can prepare and set up calculations following the proposed standard. Few examples of band structures are included. LSDA+U parameters (U, J) are also presented for Nd, Sm, and Eu.

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          Electron-energy-loss spectra and the structural stability of nickel oxide: An LSDA+U study

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            Generalized Gradient Approximation Made Simple.

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              A combinatorial approach to materials discovery.

              A method that combines thin film deposition and physical masking techniques has been used for the parallel synthesis of spatially addressable libraries of solid-state materials. Arrays containing different combinations, stoichiometries, and deposition sequences of BaCO(3), Bi(2)O(3), CaO, CuO, PbO, SrCO(3), and Y(2)O(3) were generated with a series of binary masks. The arrays were sintered and BiSrCaCuO and YBaCuO superconducting films were identified. Samples as small as 200 micrometers by 200 micrometers in size were generated, corresponding to library densities of 10,000 sites per square inch. The ability to generate and screen combinatorial libraries of solid-state compounds, when coupled with theory and empirical observations, may significantly increase the rate at which novel electronic, magnetic, and optical materials are discovered and theoretical predictions tested.
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                Author and article information

                Journal
                17 April 2010
                Article
                10.1016/J.Commatsci.2010.05.010
                1004.2974
                3d957bdd-ebaa-49b1-9180-73003be13da2

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

                History
                Custom metadata
                Computational Materials Science 49 (2010) 299
                16 pages, 48 figures, http://materials.duke.edu/
                cond-mat.mtrl-sci

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