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Title: Analytical modeling of localized surface plasmon resonance in heterostructure copper sulfide nanocrystals

Abstract

Localized surface plasmon resonance (LSPR) in semiconductor nanocrystals is a relatively new field of investigation that promises greater tunability of plasmonic properties compared to metal nanoparticles. A novel process by which the LSPR in semiconductor nanocrystals can be altered is through heterostructure formation arising from solution-based cation exchange. Herein, we describe the development of an analytical model of LSPR in heterostructure copper sulfide-zinc sulfide nanocrystals synthesized via a cation exchange reaction between copper sulfide (Cu{sub 1.81}S) nanocrystals and Zn ions. The cation exchange reaction produces dual-interface, heterostructure nanocrystals in which the geometry of the copper sulfide phase can be tuned from a sphere to a thin disk separating symmetrically-grown sulfide (ZnS) grains. Drude model electronic conduction and Mie-Gans theory are applied to describe how the LSPR wavelength changes during cation exchange, taking into account the morphology evolution and changes to the local permittivity. The results of the modeling indicate that the presence of the ZnS grains has a significant effect on the out-of-plane LSPR mode. By comparing the results of the model to previous studies on solid-solid phase transformations of copper sulfide in these nanocrystals during cation exchange, we show that the carrier concentration is independent of the copper vacancymore » concentration dictated by its atomic phase. The evolution of the effective carrier concentration calculated from the model suggests that the out-of-plane resonance mode is dominant. The classical model was compared to a simplified quantum mechanical model which suggested that quantum mechanical effects become significant when the characteristic size is less than ∼8 nm. Overall, we find that the analytical models are not accurate for these heterostructured semiconductor nanocrystals, indicating the need for new model development for this emerging field.« less

Authors:
; ;  [1]
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  1. School of Applied and Engineering Physics, Cornell University, Ithaca, New York 14853 (United States)
Publication Date:
OSTI Identifier:
22311329
Resource Type:
Journal Article
Journal Name:
Journal of Chemical Physics
Additional Journal Information:
Journal Volume: 141; Journal Issue: 16; Other Information: (c) 2014 AIP Publishing LLC; Country of input: International Atomic Energy Agency (IAEA); Journal ID: ISSN 0021-9606
Country of Publication:
United States
Language:
English
Subject:
37 INORGANIC, ORGANIC, PHYSICAL AND ANALYTICAL CHEMISTRY; 77 NANOSCIENCE AND NANOTECHNOLOGY; COPPER; COPPER SULFIDES; ION EXCHANGE; NANOPARTICLES; NANOSTRUCTURES; PERMITTIVITY; RESONANCE; SEMICONDUCTOR MATERIALS; SIMULATION; SOLIDS; WAVELENGTHS; ZINC IONS; ZINC SULFIDES

Citation Formats

Caldwell, Andrew H., Ha, Don-Hyung, Robinson, Richard D., E-mail: rdr82@cornell.edu, and Ding, Xiaoyue. Analytical modeling of localized surface plasmon resonance in heterostructure copper sulfide nanocrystals. United States: N. p., 2014. Web. doi:10.1063/1.4897635.
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Caldwell, Andrew H., Ha, Don-Hyung, Robinson, Richard D., E-mail: rdr82@cornell.edu, & Ding, Xiaoyue. Analytical modeling of localized surface plasmon resonance in heterostructure copper sulfide nanocrystals. United States. https://doi.org/10.1063/1.4897635
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Caldwell, Andrew H., Ha, Don-Hyung, Robinson, Richard D., E-mail: rdr82@cornell.edu, and Ding, Xiaoyue. 2014. "Analytical modeling of localized surface plasmon resonance in heterostructure copper sulfide nanocrystals". United States. https://doi.org/10.1063/1.4897635.
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@article{osti_22311329,
title = {Analytical modeling of localized surface plasmon resonance in heterostructure copper sulfide nanocrystals},
author = {Caldwell, Andrew H. and Ha, Don-Hyung and Robinson, Richard D., E-mail: rdr82@cornell.edu and Ding, Xiaoyue},
abstractNote = {Localized surface plasmon resonance (LSPR) in semiconductor nanocrystals is a relatively new field of investigation that promises greater tunability of plasmonic properties compared to metal nanoparticles. A novel process by which the LSPR in semiconductor nanocrystals can be altered is through heterostructure formation arising from solution-based cation exchange. Herein, we describe the development of an analytical model of LSPR in heterostructure copper sulfide-zinc sulfide nanocrystals synthesized via a cation exchange reaction between copper sulfide (Cu{sub 1.81}S) nanocrystals and Zn ions. The cation exchange reaction produces dual-interface, heterostructure nanocrystals in which the geometry of the copper sulfide phase can be tuned from a sphere to a thin disk separating symmetrically-grown sulfide (ZnS) grains. Drude model electronic conduction and Mie-Gans theory are applied to describe how the LSPR wavelength changes during cation exchange, taking into account the morphology evolution and changes to the local permittivity. The results of the modeling indicate that the presence of the ZnS grains has a significant effect on the out-of-plane LSPR mode. By comparing the results of the model to previous studies on solid-solid phase transformations of copper sulfide in these nanocrystals during cation exchange, we show that the carrier concentration is independent of the copper vacancy concentration dictated by its atomic phase. The evolution of the effective carrier concentration calculated from the model suggests that the out-of-plane resonance mode is dominant. The classical model was compared to a simplified quantum mechanical model which suggested that quantum mechanical effects become significant when the characteristic size is less than ∼8 nm. Overall, we find that the analytical models are not accurate for these heterostructured semiconductor nanocrystals, indicating the need for new model development for this emerging field.},
doi = {10.1063/1.4897635},
url = {https://www.osti.gov/biblio/22311329}, journal = {Journal of Chemical Physics},
issn = {0021-9606},
number = 16,
volume = 141,
place = {United States},
year = {Tue Oct 28 00:00:00 EDT 2014},
month = {Tue Oct 28 00:00:00 EDT 2014}
}
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Journal Article:
https://doi.org/10.1063/1.4897635
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