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Infrared up-conversion imaging in nonlinear metasurfaces

Authors :
Camacho-Morales, Rocio
Rocco, Davide
Xu, Lei
Gili, Valerio Flavio
Dimitrov, Nikolay
Stoyanov, Lyubomir
Ma, Zhonghua
Komar, Andrei
Lysevych, Mykhaylo
Karouta, Fouad
Dreischuh, Alexander
Tan, Hark Hoe
Leo, Giuseppe
De Angelis, Costantino
Jagadish, Chennupati
Miroshnichenko, Andrey E.
Rahmani, Mohsen
Neshev, Dragomir N.
Publication Year :
2021

Abstract

Infrared imaging is a crucial technique in a multitude of applications, including night vision, autonomous vehicles navigation, optical tomography, and food quality control. Conventional infrared imaging technologies, however, require the use of materials like narrow-band gap semiconductors which are sensitive to thermal noise and often require cryogenic cooling. Here, we demonstrate a compact all-optical alternative to perform infrared imaging in a metasurface composed of GaAs semiconductor nanoantennas, using a nonlinear wave-mixing process. We experimentally show the up-conversion of short-wave infrared wavelengths via the coherent parametric process of sum-frequency generation. In this process, an infrared image of a target is mixed inside the metasurface with a strong pump beam, translating the image from infrared to the visible in a nanoscale ultra-thin imaging device. Our results open up new opportunities for the development of compact infrared imaging devices with applications in infrared vision and life sciences.<br />Comment: 32 pages, 13 figures

Subjects

Subjects :
Physics - Optics

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2101.01824
Document Type :
Working Paper
Full Text :
https://doi.org/10.1117/1.AP.3.3.036002