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Temperature-resilient anapole modes associated with TE polarization in semiconductor nanowires

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posted on 2022-12-16, 09:56 authored by Vaibhav Thakore, Tapio Ala-NissilaTapio Ala-Nissila, Mikko Karttunen

Polarization-dependent scattering anisotropy of cylindrical nanowires has numerous potential applications in, for example, nanoantennas, photothermal therapy, thermophotovoltaics, catalysis, sensing, optical filters and switches. In all these applications, temperature-dependent material properties play an important role and often adversely impact performance depending on the dominance of either radiative or dissipative damping. Here, we employ numerical modeling based on Mie scattering theory to investigate and compare the temperature and polarization-dependent optical anisotropy of metallic (gold, Au) nanowires with indirect (silicon, Si) and direct (gallium arsenide, GaAs) bandgap semiconducting nanowires. Results indicate that plasmonic scattering resonances in semiconductors, within the absorption band, deteriorate with an increase in temperature whereas those occurring away from the absorption band strengthen as a result of the increase in phononic contribution. Indirect-bandgap thin (20nm) Si nanowires present low absorption efficiencies for both the transverse electric (TE, E⊥) and magnetic (TM, E∥) modes, and high scattering efficiencies for the TM mode at shorter wavelengths making them suitable as highly efficient scatterers. Temperature-resilient higher-order anapole modes with their characteristic high absorption and low scattering efficiencies are also observed in the semiconductor nanowires (r=125−130 nm) for the TE polarization. Herein, the GaAs nanowires present 3−7 times greater absorption efficiencies compared to the Si nanowires making them especially suitable for temperature-resilient applications such as scanning near-field optical microscopy (SNOM), localized heating, non-invasive sensing or detection that require strong localization of energy in the near field.

Funding

Centre of Excellence in Computational Nanoscience (COMP)

Academy of Finland

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Quantum Technology Finland Center of Excellence Program, Grant No. 312298

Radiation Detectors for Health, Safety and Security (RADDESS) Consortium Grant of the Academy of Finland

Aalto University Energy Efficiency Research Program (EXPECTS)

Aalto Science-IT project

Discovery Grants Program of the Natural Sciences and Engineering Research Council (NSERC) of Canada, and Canada Research Chairs Program

History

School

  • Science

Department

  • Mathematical Sciences

Published in

Scientific Reports

Volume

12

Publisher

Springer Nature

Version

  • VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Acceptance date

2022-11-28

Publication date

2022-12-09

Copyright date

2022

eISSN

2045-2322

Language

  • en

Depositor

Prof Tapio Ala-Nissila. Deposit date: 15 December 2022

Article number

21345

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