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Positional recurrence maps, a powerful tool to de-correlate static and dynamical disorder in distribution maps from molecular dynamics simulations: the case of Nd2NiO4+d.
Piovano, A; Perrichon, A; Boehm, M; Johnson, M R; Paulus, W.
Afiliación
  • Piovano A; Institut Laue-Langevin, 71 avenue des Martyrs, 38000 Grenoble, France. piovano@ill.fr.
  • Perrichon A; University of Montpellier 2, UMR 5253, ICGM, C2M, CC1504, 5 Place Eugène Bataillon, 34095 Montpellier, France.
  • Boehm M; Institut Laue-Langevin, 71 avenue des Martyrs, 38000 Grenoble, France. piovano@ill.fr.
  • Johnson MR; Institut Laue-Langevin, 71 avenue des Martyrs, 38000 Grenoble, France. piovano@ill.fr.
  • Paulus W; University of Montpellier 2, UMR 5253, ICGM, C2M, CC1504, 5 Place Eugène Bataillon, 34095 Montpellier, France.
Phys Chem Chem Phys ; 18(26): 17398-403, 2016 Jun 29.
Article en En | MEDLINE | ID: mdl-26659077
ABSTRACT
In order to investigate the on-site motion of the diffusive species in crystalline solids, we have implemented a code to perform a time-summation of displacements of specific atoms, involving symmetry and adapted projections. The resulting 2D maps have been called 'positional recurrence maps' (PRM). Only displacements are considered, instead of positions, so static deformations are filtered out. In this paper we present the PRM method and show the type of information on the dynamics of selected atoms that can be obtained. We take, as an example, the Nd2NiO4+d system in which we were able to characterize in detail the effects of the dynamical delocalization of the apical oxygen.

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2016 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2016 Tipo del documento: Article