Bayesian Inference of Nanoparticle-Broadened X-Ray Line Profiles

A single-step, self-contained method for determining the crystallite-size distribution and shape from experimental x-ray line profile data is presented. It is shown that the crystallite-size distribution can be determined without invoking a functional form for the size distribution, determining inst...

Descripción completa

Detalles Bibliográficos
Autores principales: Armstrong, Nicholas, Kalceff, Walter, Cline, James P., Bonevich, John E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: [Gaithersburg, MD] : U.S. Dept. of Commerce, National Institute of Standards and Technology 2004
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4849618/
https://www.ncbi.nlm.nih.gov/pubmed/27366604
http://dx.doi.org/10.6028/jres.109.012
Descripción
Sumario:A single-step, self-contained method for determining the crystallite-size distribution and shape from experimental x-ray line profile data is presented. It is shown that the crystallite-size distribution can be determined without invoking a functional form for the size distribution, determining instead the size distribution with the least assumptions by applying the Bayesian/MaxEnt method. The Bayesian/MaxEnt method is tested using both simulated and experimental CeO(2) data, the results comparing favourably with experimental CeO(2) data from TEM measurements.

Ejemplares similares