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https://doi.org/10.1109/jmmct....
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Numerical Study of the Optical Response of ITO-In2O3 Core-Shell Nanocrystals for Multispectral Electromagnetic Shielding

Authors: Nicola Curreli; Matteo Bruno Lodi; Michele Ghini; Nicolò Petrini; Andrea Buono; Maurizio Migliaccio; Alessandro Fanti; +2 Authors

Numerical Study of the Optical Response of ITO-In2O3 Core-Shell Nanocrystals for Multispectral Electromagnetic Shielding

Abstract

Nowadays, materials to protect equipment from unwanted multispectral electromagnetic waves are needed in a broad range of applications including electronics, medical, military and aerospace. However, the shielding materials currently in use are bulky and work effectively only in a limited frequency range. Therefore, nanostructured materials are under investigation by the relevant scientific community. In this framework, the design of multispectral shielding nanomaterials must be supplemented with proper numerical models that allow dealing with non-linearities and being effective in predicting their absorption spectra. In this study, the electromagnetic response of metal-oxide nanocrystals with multispectral electromagnetic shielding capability has been investigated. A numerical framework was developed to predict energy bands and electron density profiles of a core-shell nanocrystal and to evaluate its optical response at different wavelengths. To this aim, a finite element method software is used to solve a non-linear Poisson's equation. The numerical simulations allowed to model the optical response of $\mathbf {ITO}$-$\mathbf {In_{2}O_{3}}$ core-shell nanocrystals and can be effectively applied to different nanotopologies to support an enhanced design of nanomaterials with multispectral shielding capabilities.

Countries
Switzerland, Italy
Keywords

numerical models, ability, model, metal, plasmonic resonance, poisson equations, dynamics, biomedical optical imaging, Biomedical optical imaging; Computational electromagnetics; Core-shell nanoparticles; Lorentz-Mie theory; Mathematical models; Multispectral shielding; Nanocrystals; Nanomaterials; Numerical models; Optical scattering; Plasmonic resonance; Poisson equations, core-shell nanoparticles, composites, optical scattering, nanocrystals, Mathematical models; Nanocrystals; Biomedical optical imaging; Optical scattering; Numerical models; Nanomaterials; Poisson equations; Computational electromagnetics; Core-shell nanoparticles; Lorentz-Mie theory; Multispectral shielding; Plasmonic resonance, nanoparticles, computational electromagnetics, mathematical models, absorption, nanomaterials, multispectral shielding, lorentz-mie theory

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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    2
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
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    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Top 10%
Average
Average
Green
hybrid
Related to Research communities
Energy Research