Quality of mid-IR plasmon resonances in highly mismatched alloys

Plasmonic applications in the mid-IR range primarily rely on doped semiconductors. The plasmonic properties of highly mismatched alloys (HMAs) – modified semiconductors with an alloying element that has highly different electronegativity from the host semiconductor elements – have not been explored. We study the bulk plasmon resonances of a large class of HMAs and show that they have plasmon resonances in the THz to mid-IR range. We compare their resonance quality with leading mid-IR plasmonic materials using a figure of merit that describes the potential of a material to scatter or absorb light. We show that HMAs can be competitive with many doped semiconductor systems.

Authors

Institutions

Publication Details

Published
2025-09-16
DOI
https://doi.org/10.1117/12.3063419
Primary Topic
Optical Coatings and Gratings
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quality of mid-IR plasmon resonances in highly mismatched alloys

Jacob J. Krich, Hassan Allami, Gavin M. Frodsham
Optical Coatings and Gratings
article

Quality of mid-IR plasmon resonances in highly mismatched alloys

Jacob J. Krich, Hassan Allami, Gavin M. Frodsham
article en

Abstract

Plasmonic applications in the mid-IR range primarily rely on doped semiconductors. The plasmonic properties of highly mismatched alloys (HMAs) – modified semiconductors with an alloying element that has highly different electronegativity from the host semiconductor elements – have not been explored. We study the bulk plasmon resonances of a large class of HMAs and show that they have plasmon resonances in the THz to mid-IR range. We compare their resonance quality with leading mid-IR plasmonic materials using a figure of merit that describes the potential of a material to scatter or absorb light. We show that HMAs can be competitive with many doped semiconductor systems.

University of Ottawa (CA)
Openalex Percentile: Top 77%
Optical Coatings and Gratings
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.