Song, Jialin and Tokpanov, Yury S. and Chen, Yuxin and Fleischman, Dagny and Fountaine, Katherine T. and Yue, Yisong and Atwater, Harry A. (2020) Mirrored Plasmonic Filter Design via Active Learning of Multi-Fidelity Physical Models. In: 2020 Conference on Lasers and Electro-Optics (CLEO). Optical Society of America , Washington, DC, Art. No. JTu2D.6. ISBN 9781943580767. https://resolver.caltech.edu/CaltechAUTHORS:20200923-131223809
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Abstract
We designed mirrored plasmonic filters using an advanced active machine learning algorithm that efficiently explores multiple physical models with different approximation fidelities and costs. This method is applicable to a variety of nanophotonics optimization problems.
| Item Type: | Book Section | |||||||||
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| Additional Information: | © 2020 The Author(s). | |||||||||
| Classification Code: | OCIS codes: 220.4830, 130.7408 | |||||||||
| DOI: | 10.1364/cleo_at.2020.jtu2d.6 | |||||||||
| Record Number: | CaltechAUTHORS:20200923-131223809 | |||||||||
| Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20200923-131223809 | |||||||||
| Official Citation: | J. Song, Y. S. Tokpanov, Y. Chen, D. Fleischman, K. T. Fountaine, Y. Yue, and H. A. Atwater, "Mirrored Plasmonic Filter Design via Active Learning of Multi-Fidelity Physical Models," in Conference on Lasers and Electro-Optics, OSA Technical Digest (Optical Society of America, 2020), paper JTu2D.6 | |||||||||
| Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | |||||||||
| ID Code: | 105497 | |||||||||
| Collection: | CaltechAUTHORS | |||||||||
| Deposited By: | Tony Diaz | |||||||||
| Deposited On: | 23 Sep 2020 20:21 | |||||||||
| Last Modified: | 16 Nov 2021 18:43 |
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