Ala-Nissila_08597651.pdf (1.29 MB)
Plasmonically enhanced spectrally-sensitive coatings for gradient heat flux sensors
conference contribution
posted on 2019-01-29, 14:13 authored by Kevin Conley, Vaibhav Thakore, Tapio Ala-NissilaTapio Ala-NissilaThe spectral response and directional scattering of semiconductor-oxide core-shell spherical microparticles embedded in an insulating medium at low volume fraction are computed using Mie
Theory and Multiscale Modelling methods. The surface plasmon resonances of low-bandgap
semiconductor microinclusions have excellent and tunable scattering properties. By adjusting
the size, material, shell thickness, and dielectric environment of the particles, the energies of
the localized surface resonances are tuned to match the discrete solar spectrum. Near-IR solar
reflectance efficiency factors of up to 80% are observed. Further the transmittance of broadband
or specific wavelengths could be blocked. These spectrally-sensitive coatings have application
as a back-reflector for solar devices, high temperature thermal insulator, and optical filters in
Gradient Heat Flux Sensors (GHFS) for fire safety applications.
Funding
This work was performed as part of the Academy of Finland Centre of Excellence program (project 312298).
History
School
- Science
Department
- Mathematical Sciences
Published in
2018 Progress in Electromagnetics Research Symposium (PIERS-Toyama 2018)Citation
CONLEY, K., THAKORE, V. and ALA-NISSILA, T., 2018. Plasmonically enhanced spectrally-sensitive coatings for gradient heat flux sensors. IN: 2018 Progress in Electromagnetics Research Symposium (PIERS-Toyama 2018), Toyama, Japan, 1-4th August. Red Hook (NY): Curran Associates, pp. 2435-2441.Publisher
© The Institute of Electronics, Information and Communication Engineers (IEICE)Version
- VoR (Version of Record)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Acceptance date
2018-03-01Publication date
2018Notes
This is a conference paper.ISBN
9781538654552ISSN
1559-9450Publisher version
Language
- en