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  5. Room-Temperature Dynamics of Vanishing Copper Nanoparticles Supported on Silica

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Article
en
2017

Room-Temperature Dynamics of Vanishing Copper Nanoparticles Supported on Silica

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en
2017
Vol 17 (4)
Vol. 17
DOI: 10.1021/acs.nanolett.7b00942

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Peidong Yang
Peidong Yang

University of California, Berkeley

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Dohyung Kim
Nigel Becknell
Yi Yu
+1 more

Abstract

In heterogeneous catalysis, a nanoparticle (NP) system has immediate chemical surroundings with which its interaction needs to be considered, as nanoparticles are typically loaded onto certain supports. Beyond what is known about these interactions, dynamic atomic interactions between the nanoparticle and support could result from the increased energetics at the nanoscale. Here, we show that the dynamic response of atoms in copper nanoparticles to the underlying silica support at room temperature and ambient atmosphere results in the complete disappearance of supported nanoparticles over the course of only a few weeks. A quantitative study of copper nanoparticles at various size regimes (6-17 nm) revealed the significance of size-dependent nanoparticle energetics to the interaction with the support. Extended X-ray absorption fine structure is used to show that copper atoms could readily diffuse into the support to be locally surrounded by oxygen and silicon with structurally disordered outer coordination shells. Increased energetic states at the nanoscale and the energetically favorable configuration of individual copper atoms within silica, identified through EXAFS, are suggested as the cause of nanoparticle disappearance. This unexpected observation opens up new questions as to how nanoparticles interact with surrounding environments that could fundamentally change our conventional view of supported nanoparticle systems.

How to cite this publication

Dohyung Kim, Nigel Becknell, Yi Yu, Peidong Yang (2017). Room-Temperature Dynamics of Vanishing Copper Nanoparticles Supported on Silica. , 17(4), DOI: https://doi.org/10.1021/acs.nanolett.7b00942.

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Publication Details

Type

Article

Year

2017

Authors

4

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1021/acs.nanolett.7b00942

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