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Deterministic inverse design of spectral line shapes using thin-film-based Fano resonators

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Abstract
We present an inverse design approach for spectral line shapes using thin-film-based Fano resonators. Stochastic gradient descent (SGD)-based learning provides CMOS-compatible process parameters for spectral line shapes with four different Fano q parameters. © 2023 The Author(s)
Author(s)
Yoo, Young JinKo, Joo HwanPark, Jin-HwiJeon, Hae-GonSong, Young Min
Issued Date
2023-05-07
Type
Conference Paper
URI
https://scholar.gist.ac.kr/handle/local/21173
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
2023 Conference on Lasers and Electro-Optics, CLEO 2023
ISSN
0000-0000
Conference Place
US
San Jose
Appears in Collections:
Department of Electrical Engineering and Computer Science > 2. Conference Papers
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