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DFT-Assisted Solid-State NMR Characterization of Defects in Li2MnO3.
Serrano-Sevillano, Jon; Carlier, Dany; Saracibar, Amaia; Lopez Del Amo, Juan Miguel; Casas-Cabanas, Montse.
Afiliação
  • Serrano-Sevillano J; CIC energiGUNE , Parque Tecnológico de Álava , C/Albert Einstein 48 , 01510 Miñano , Álava Spain.
  • Carlier D; Physical Chemistry Department, Pharmacy Faculty , Basque Country University , 01006 Vitoria-Gasteiz , Álava Spain.
  • Saracibar A; CNRS, Bordeaux INP, ICMCB UMR5026 , Université Bordeaux , F-33600 Pessac , France.
  • Lopez Del Amo JM; Physical Chemistry Department, Pharmacy Faculty , Basque Country University , 01006 Vitoria-Gasteiz , Álava Spain.
  • Casas-Cabanas M; CIC energiGUNE , Parque Tecnológico de Álava , C/Albert Einstein 48 , 01510 Miñano , Álava Spain.
Inorg Chem ; 58(13): 8347-8356, 2019 Jul 01.
Article em En | MEDLINE | ID: mdl-31199135
ABSTRACT
The complete description of defective structures and their impact on materials behavior is a great challenge due to difficulties associated with their reliable characterization in the nanoscale. In this paper, density functional theory (DFT) calculations are used to elucidate the solid-state nuclear magnetic resonance (NMR) spectra of Li2MnO3 which, combined with X-ray diffraction (XRD), provide a full description of disorder in this compound. While XRD allows accurate quantification of planar defects, the use of solid-state NMR reveals limited vacancy concentrations that were undetected by XRD as NMR is highly sensitive to the atomic local environments. The combination of these methods is here proved highly effective in overcoming the challenges of describing in great detail limited concentrations of disorder in transition metal oxides, providing information about structural variables that are essential to their application.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article