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  A QM/MM approach for low-symmetry defects in metals

Huber, L., Grabowski, B., Militzer, M., Neugebauer, J., & Rottler, J. (2016). A QM/MM approach for low-symmetry defects in metals. Computational Materials Science, 118, 259-268. doi:10.1016/j.commatsci.2016.03.028.

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2016-03-31_computational_materials_science_a_qmmm_approach_for_low-symmetry_defects_in_metals.pdf (Verlagsversion), 2MB
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Huber, Liam1, Autor           
Grabowski, Blazej2, Autor           
Militzer, Matthias3, Autor           
Neugebauer, Jörg4, Autor           
Rottler, Jörg1, Autor           
Affiliations:
1Department of Physics and Astronomy, The University of British Columbia, 6224 Agricultural Rd., Vancouver, BC V6T 1Z1, Canada, ou_persistent22              
2Adaptive Structural Materials (Simulation), Computational Materials Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society, ou_persistent22              
3Centre for Metallurgical Process Engineering, The University of British Columbia, 309-6350 Stores Road, Vancouver, BC V6T 1Z4, Canada, ou_persistent22              
4Computational Materials Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society, ou_1863337              

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 Zusammenfassung: Concurrent multiscale coupling is a powerful tool for obtaining quantum mechanically (QM) accurate material behavior in a small domain while still capturing long range stress fields using a molecular mechanical (MM) description. We outline an improved scheme for QM/MM coupling in metals which permits the QM treatment of a small region chosen from a large, arbitrary MM domain to calculate total system energy and relaxed geometry. In order to test our improved method, we compute solute-vacancy binding in bulk Al as well as the binding of Mg and Pb to a symmetric Σ5 grain boundary. Results are calculated with and without our improvement to the QM/MM scheme and compared to periodic QM results for the same systems. We find that our scheme accurately and efficiently reproduces periodic QM target values in these test systems and therefore can be expected to perform well using more general geometries. © 2016 Published by Elsevier B.V.

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Sprache(n): eng - English
 Datum: 2016-06-01
 Publikationsstatus: Erschienen
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 Ort, Verlag, Ausgabe: -
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 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1016/j.commatsci.2016.03.028
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Titel: Computational Materials Science
  Kurztitel : Comput. Mater. Sci.
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: Amsterdam : Elsevier
Seiten: - Band / Heft: 118 Artikelnummer: - Start- / Endseite: 259 - 268 Identifikator: ISSN: 0927-0256
CoNE: https://pure.mpg.de/cone/journals/resource/954925567766