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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...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
International Union of Crystallography
2020
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| Materias: | |
| 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 |