Unlocking Multi-Scenario Sensing Capabilities in the Mid-IR using Polycrystalline Silicon Metasurfaces

The design and operational principles governing alldielectric metasurfaces, operating in the 4 ~ 8 µm mid-infrared band and customizable for gas and liquid sensing, are presented. A comparative analysis of silicon meta-atoms on CaF<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> or Si<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</inf>N<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">4</inf> substrates and optimization towards enhanced infrared absorption are provided.

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Published
2024-11-10
DOI
https://doi.org/10.1109/ipc60965.2024.10799830
Primary Topic
Infrared Target Detection Methodologies
Type
article
Field-Weighted Citation Impact
0.00

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article

Unlocking Multi-Scenario Sensing Capabilities in the Mid-IR using Polycrystalline Silicon Metasurfaces

Giulia Malvicini, Simone Iadanza, Marco Grande, Bernhard Lendl et al.
Infrared Target Detection Methodologies
article

Unlocking Multi-Scenario Sensing Capabilities in the Mid-IR using Polycrystalline Silicon Metasurfaces

Giulia Malvicini, Simone Iadanza, Marco Grande, Bernhard Lendl, Liam O’Faoláin, Artem S. Vorobev, Giovanni Magno, J.H. Mendoza-Castro, A. D’Orazio
article en

Abstract

The design and operational principles governing alldielectric metasurfaces, operating in the 4 ~ 8 µm mid-infrared band and customizable for gas and liquid sensing, are presented. A comparative analysis of silicon meta-atoms on CaF<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> or Si<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</inf>N<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">4</inf> substrates and optimization towards enhanced infrared absorption are provided.

TU Wien (AT), Paul Scherrer Institute (CH), Munster Technological University (IE), Polytechnic University of Bari (IT)
Science Foundation Ireland
Openalex Percentile: Top 61%
Infrared Target Detection Methodologies
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Unlocking Multi-Scenario Sensing Capabilities in the Mid-IR using Polycrystalline Silicon Metasurfaces — Giulia Malvicini, Simone Iadanza, et al. · (2024) | TGRS Research Map | TGRS