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  5. Structure and vacancy distribution in copper telluride nanoparticles influence plasmonic activity in the near-infrared

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Article
en
2017

Structure and vacancy distribution in copper telluride nanoparticles influence plasmonic activity in the near-infrared

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en
2017
Vol 8 (1)
Vol. 8
DOI: 10.1038/ncomms14925

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Isabel Pastoriza Santos
Isabel Pastoriza Santos

Universidade de Vigo

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Tom Willhammar
Kadir Sentosun
Stefanos Mourdikoudis
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Abstract

Abstract Copper chalcogenides find applications in different domains including photonics, photothermal therapy and photovoltaics. CuTe nanocrystals have been proposed as an alternative to noble metal particles for plasmonics. Although it is known that deviations from stoichiometry are a prerequisite for plasmonic activity in the near-infrared, an accurate description of the material and its (optical) properties is hindered by an insufficient understanding of the atomic structure and the influence of defects, especially for materials in their nanocrystalline form. We demonstrate that the structure of Cu 1.5± x Te nanocrystals can be determined using electron diffraction tomography. Real-space high-resolution electron tomography directly reveals the three-dimensional distribution of vacancies in the structure. Through first-principles density functional theory, we furthermore demonstrate that the influence of these vacancies on the optical properties of the nanocrystals is determined. Since our methodology is applicable to a variety of crystalline nanostructured materials, it is expected to provide unique insights concerning structure–property correlations.

How to cite this publication

Tom Willhammar, Kadir Sentosun, Stefanos Mourdikoudis, Bart Goris, Mert Kurttepeli, Marnik Bercx, D. Lamoen, B. Partoens, Isabel Pastoriza Santos, Jorge Pérez‐Juste, Luis M. Liz‐Marzán, Sara Bals, Gustaaf Van Tendeloo (2017). Structure and vacancy distribution in copper telluride nanoparticles influence plasmonic activity in the near-infrared. , 8(1), DOI: https://doi.org/10.1038/ncomms14925.

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Publication Details

Type

Article

Year

2017

Authors

13

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1038/ncomms14925

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