Cluster-mining: an approach for determining core structures of metallic nanoparticles from atomic pair distribution function data

A novel approach for finding and evaluating structural models of small metallic nanoparticles is presented. Rather than fitting a single model with many degrees of freedom, libraries of clusters from multiple structural motifs are built algorithmically and individually refined against experimental p...

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Detalles Bibliográficos
Autores principales: Banerjee, Soham, Liu, Chia-Hao, Jensen, Kirsten M. Ø., Juhás, Pavol, Lee, Jennifer D., Tofanelli, Marcus, Ackerson, Christopher J., Murray, Christopher B., Billinge, Simon J. L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Union of Crystallography 2020
Materias:
Research Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7045905/
https://www.ncbi.nlm.nih.gov/pubmed/31908346
http://dx.doi.org/10.1107/S2053273319013214

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7045905/
https://www.ncbi.nlm.nih.gov/pubmed/31908346
http://dx.doi.org/10.1107/S2053273319013214

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