Inverse Design of Nanophotonic Structures Using a Hybrid Dimensionality Reduction Technique

Michael Chen; Mohammadreza Zandehshahvar; Yashar Kiarashinejad; Omid Hemmatyar; Divya Umapathy; Sajjad Abdollahramezani; Ali Adibi

doi:10.1364/FIO.2020.FM2A.1

Frontiers in Optics / Laser Science
OSA Technical Digest (Optica Publishing Group, 2020),
paper FM2A.1
•https://doi.org/10.1364/FIO.2020.FM2A.1

Inverse Design of Nanophotonic Structures Using a Hybrid Dimensionality Reduction Technique

Michael Chen, Mohammadreza Zandehshahvar, Yashar Kiarashinejad, Omid Hemmatyar, Divya Umapathy, Sajjad Abdollahramezani, and Ali Adibi

Frontiers in Optics 2020

Washington, DC United States
14–17 September 2020
ISBN: 978-1-943580-80-4

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Machine Learning and Optimization (FM2A)

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M. Chen, M. Zandehshahvar, Y. Kiarashinejad, O. Hemmatyar, D. Umapathy, S. Abdollahramezani, and A. Adibi, "Inverse Design of Nanophotonic Structures Using a Hybrid Dimensionality Reduction Technique," in Frontiers in Optics / Laser Science, B. Lee, C. Mazzali, K. Corwin, and R. Jason Jones, eds., OSA Technical Digest (Optica Publishing Group, 2020), paper FM2A.1.

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Abstract

In this work, we leverage neural networks and dimensionality reduction both in the design and response space to rapidly and efficiently design near-optimal optical nanostructures producing a desired electromagnetic response.

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