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Formation of bimetallic clusters in superfluid helium nanodroplets analysed by atomic resolution electron tomography.


ABSTRACT: Structure, shape and composition are the basic parameters responsible for properties of nanoscale materials, distinguishing them from their bulk counterparts. To reveal these in three dimensions at the nanoscale, electron tomography is a powerful tool. Advancing electron tomography to atomic resolution in an aberration-corrected transmission electron microscope remains challenging and has been demonstrated only a few times using strong constraints or extensive filtering. Here we demonstrate atomic resolution electron tomography on silver/gold core/shell nanoclusters grown in superfluid helium nanodroplets. We reveal morphology and composition of a cluster identifying gold- and silver-rich regions in three dimensions and we estimate atomic positions without using any prior information and with minimal filtering. The ability to get full three-dimensional information down to the atomic scale allows understanding the growth and deposition process of the nanoclusters and demonstrates an approach that may be generally applicable to all types of nanoscale materials.

SUBMITTER: Haberfehlner G 

PROVIDER: S-EPMC4640115 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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Formation of bimetallic clusters in superfluid helium nanodroplets analysed by atomic resolution electron tomography.

Haberfehlner Georg G   Thaler Philipp P   Knez Daniel D   Volk Alexander A   Hofer Ferdinand F   Ernst Wolfgang E WE   Kothleitner Gerald G  

Nature communications 20151028


Structure, shape and composition are the basic parameters responsible for properties of nanoscale materials, distinguishing them from their bulk counterparts. To reveal these in three dimensions at the nanoscale, electron tomography is a powerful tool. Advancing electron tomography to atomic resolution in an aberration-corrected transmission electron microscope remains challenging and has been demonstrated only a few times using strong constraints or extensive filtering. Here we demonstrate atom  ...[more]

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