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      Surface energies of elemental crystals

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          Abstract

          The surface energy is a fundamental property of the different facets of a crystal that is crucial to the understanding of various phenomena like surface segregation, roughening, catalytic activity, and the crystal’s equilibrium shape. Such surface phenomena are especially important at the nanoscale, where the large surface area to volume ratios lead to properties that are significantly different from the bulk. In this work, we present the largest database of calculated surface energies for elemental crystals to date. This database contains the surface energies of more than 100 polymorphs of about 70 elements, up to a maximum Miller index of two and three for non-cubic and cubic crystals, respectively. Well-known reconstruction schemes are also accounted for. The database is systematically improvable and has been rigorously validated against previous experimental and computational data where available. We will describe the methodology used in constructing the database, and how it can be accessed for further studies and design of materials.

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          Generalized Gradient Approximation Made Simple.

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            Why gold is the noblest of all the metals

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              Towards a definition of inorganic nanoparticles from an environmental, health and safety perspective.

              The regulation of engineered nanoparticles requires a widely agreed definition of such particles. Nanoparticles are routinely defined as particles with sizes between about 1 and 100 nm that show properties that are not found in bulk samples of the same material. Here we argue that evidence for novel size-dependent properties alone, rather than particle size, should be the primary criterion in any definition of nanoparticles when making decisions about their regulation for environmental, health and safety reasons. We review the size-dependent properties of a variety of inorganic nanoparticles and find that particles larger than about 30 nm do not in general show properties that would require regulatory scrutiny beyond that required for their bulk counterparts.
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                Author and article information

                Journal
                Sci Data
                Sci Data
                Scientific Data
                Nature Publishing Group
                2052-4463
                13 September 2016
                2016
                : 3
                : 160080
                Affiliations
                [1 ]Department of NanoEngineering, University of California San Diego , 9500 Gilman Dr, Mail Code 0448, La Jolla, California 92093-0448, USA
                [2 ]Energy Technologies Area, Lawrence Berkeley National Laboratory , Berkeley, California 94720, USA
                [3 ]Department of Materials Science and Engineering, Massachusetts Institute of Technology , Cambridge, Massachusetts 02139, USA
                [4 ]Department of Materials Science & Engineering, University of California , Berkeley, California 94720-1760, USA
                Author notes
                [a ] S.P.O. (email: ongsp@ 123456eng.ucsd.edu ).
                []

                R.T. performed the surface calculations, constructed the workflow algorithm, and performed data analysis and verification. Z.X. assisted in the construction of the workflow algorithm, wrote the algorithm for generating the Wulff shapes and developed a consistent set of VASP parameters for surface calculations. D.W. was involved with the integration of the HT surface data with the Materials Project effort. B.R. assisted in supervising the investigation and aided in data analysis and validation. W.S. and K.A.P. collaborated on the validation of the results. S.P.O. is the primary investigator and overall supervisor of this study. All authors contributed to the discussion and writing of the manuscript.

                Article
                sdata201680
                10.1038/sdata.2016.80
                5020873
                27622853
                bbf88750-e855-4d3b-b15c-0c87e806412f
                Copyright © 2016, The Author(s)

                This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0 Metadata associated with this Data Descriptor is available at http://www.nature.com/sdata/ and is released under the CC0 waiver to maximize reuse.

                History
                : 03 June 2016
                : 11 August 2016
                Categories
                Data Descriptor

                computational methods,surfaces, interfaces and thin films,density functional theory

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