Note to users. If you're seeing this message, it means that your browser cannot find this page's style/presentation instructions -- or possibly that you are using a browser that does not support current Web standards. Find out more about why this message is appearing, and what you can do to make your experience of our site the best it can be.


Originally published in Science Express on 18 July 2002
Science 23 August 2002:
Vol. 297. no. 5585, pp. 1317 - 1320
DOI: 10.1126/science.1074130

Reports

Probing Oxygen Motion in Disordered Anionic Conductors with 17O and 51V MAS NMR Spectroscopy

Namjun Kim, Clare P. Grey*

Identification of the local environments of the ions in a solid-state electrolyte that contribute to the ionic conductivity or remain trapped in the lattice represents a challenge for many experimental probes of structure. We show that high-resolution 17O magic angle spinning nuclear magnetic resonance (MAS NMR) spectra may be obtained even from the highly disordered, layered materials alpha -Bi4V2O11 and gamma -Bi4V1.7Ti0.3O10.85, in which the different oxide sites in the lattice may be distinguished. The sites responsible for anionic conduction were determined directly from the variable-temperature 17O NMR spectra, and correlation times for motion were estimated. Double-resonance 17O/51V NMR methods were used as confirmation of the assignments of the resonances and as a second experimental probe of motion that is sensitive to mobility involving oxide ion hops between the same crystallographic sites.

Department of Chemistry, State University of New York at Stony Brook, Stony Brook, NY 11794-3400, USA.
*   To whom correspondence should be addressed. E-mail: cgrey{at}sbchem.sunysb.edu


Read the Full Text



THIS ARTICLE HAS BEEN CITED BY OTHER ARTICLES:
Aluminum substitution in MgSiO3 perovskite: Investigation of multiple mechanisms by 27Al NMR.
J. F. Stebbins, H. Kojitani, M. Akaogi, and A. Navrotsky (2003)
American Mineralogist 88, 1161-1164
   Abstract »    Full Text »    PDF »



To Advertise     Find Products


Science. ISSN 0036-8075 (print), 1095-9203 (online)