Terahertz pulse shaping using diffractive surfaces

Muhammed Veli; Deniz Mengu; Nezih T. Yardimci; Yi Luo; Jingxi Li; Yair Rivenson; Mona Jarrahi; Aydogan Ozcan

doi:10.1038/s41467-020-20268-z

Nature Communications (Jan 2021)

Terahertz pulse shaping using diffractive surfaces

Muhammed Veli,
Deniz Mengu,
Nezih T. Yardimci,
Yi Luo,
Jingxi Li,
Yair Rivenson,
Mona Jarrahi,
Aydogan Ozcan

Affiliations

Muhammed Veli: Department of Electrical and Computer Engineering, University of California Los Angeles (UCLA)
Deniz Mengu: Department of Electrical and Computer Engineering, University of California Los Angeles (UCLA)
Nezih T. Yardimci: Department of Electrical and Computer Engineering, University of California Los Angeles (UCLA)
Yi Luo: Department of Electrical and Computer Engineering, University of California Los Angeles (UCLA)
Jingxi Li: Department of Electrical and Computer Engineering, University of California Los Angeles (UCLA)
Yair Rivenson: Department of Electrical and Computer Engineering, University of California Los Angeles (UCLA)
Mona Jarrahi: Department of Electrical and Computer Engineering, University of California Los Angeles (UCLA)
Aydogan Ozcan: Department of Electrical and Computer Engineering, University of California Los Angeles (UCLA)

DOI: https://doi.org/10.1038/s41467-020-20268-z
Journal volume & issue: Vol. 12, no. 1
pp. 1 – 13

Abstract

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Diffractive networks have recently been discussed as an all-optical analogue for performing neural network operations. The authors present a method using deep learning-designed 3D-printed diffractive surfaces to engineer temporal waveforms and perform pulse shaping in the terahertz regime.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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