Optical Characterization of Size‐ and Substrate‐Dependent Performance of Ultraviolet Hybrid Plasmonic Nanowire Lasers

Abstract Nanowire‐based plasmonic lasers are now established as nano‐sources of coherent radiation, appearing as suitable candidates for integration into next‐generation nanophotonic circuitry. However, compared to their photonic counterparts, their relatively high losses and large lasing thresholds still pose a burdening constraint on their scalability. In this study, the lasing characteristics of zinc oxide (ZnO) nanowires on silver (Ag) and aluminum (Al) substrates, operating as optically‐pumped short‐wavelength plasmonic nanolasers, are systematically investigated in combination with the size‐dependent performance of the hybrid cavity. A nanomanipulation‐assisted single nanowire optical characterization combined with high‐throughput photoluminescence spectroscopy enabled the correlation of the lasing characteristics to the metal substrate and the nanowire diameter. The results evidence that the coupling between excitons and surface plasmons is closely tied to the relationship between substrate dispersive behavior and cavity diameter. Such coupling dictates the degree to which the lasing character, be it more plasmonic‐ or photonic‐like, can define the stimulated emission features and, as a result, the device performance.

Authors

Institutions

Publication Details

Journal
Advanced Optical Materials
Published
2024-08-29
DOI
https://doi.org/10.1002/adom.202401301
Citations
4
Primary Topic
Plasmonic and Surface Plasmon Research
Type
article
Field-Weighted Citation Impact
0.74

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optical Characterization of Size‐ and Substrate‐Dependent Performance of Ultraviolet Hybrid Plasmonic Nanowire Lasers

Marco Diegel, Daniel Repp, Stephen Church, Andrea Dellith et al.
4 citations
Advanced Optical Materials
Plasmonic and Surface Plasmon Research
0.74
article

Optical Characterization of Size‐ and Substrate‐Dependent Performance of Ultraviolet Hybrid Plasmonic Nanowire Lasers

Marco Diegel, Daniel Repp, Stephen Church, Andrea Dellith, Francesco Vitale, Carsten Ronning, Thomas Pertsch, Patrick Parkinson, Mario Ziegler, Jer‐Shing Huang, Karthika S. Sunil, Sheng‐Di Lin, Thi‐Hien Do
article en
4 citations

Abstract

Abstract Nanowire‐based plasmonic lasers are now established as nano‐sources of coherent radiation, appearing as suitable candidates for integration into next‐generation nanophotonic circuitry. However, compared to their photonic counterparts, their relatively high losses and large lasing thresholds still pose a burdening constraint on their scalability. In this study, the lasing characteristics of zinc oxide (ZnO) nanowires on silver (Ag) and aluminum (Al) substrates, operating as optically‐pumped short‐wavelength plasmonic nanolasers, are systematically investigated in combination with the size‐dependent performance of the hybrid cavity. A nanomanipulation‐assisted single nanowire optical characterization combined with high‐throughput photoluminescence spectroscopy enabled the correlation of the lasing characteristics to the metal substrate and the nanowire diameter. The results evidence that the coupling between excitons and surface plasmons is closely tied to the relationship between substrate dispersive behavior and cavity diameter. Such coupling dictates the degree to which the lasing character, be it more plasmonic‐ or photonic‐like, can define the stimulated emission features and, as a result, the device performance.

Advanced Optical MaterialsVol. 12(29)
Helmholtz Institute Jena (DE), National Yang Ming Chiao Tung University (TW), Leibniz Institute of Photonic Technology (DE), University of Manchester (GB), Research Center for Applied Science, Academia Sinica (TW), Friedrich Schiller University Jena (DE)
UK Research and Innovation, Deutsche Forschungsgemeinschaft, Engineering and Physical Sciences Research Council, European Regional Development Fund
Openalex Percentile: Top 32%
Plasmonic and Surface Plasmon Research
0.74
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.