Inverse Design of Microresonators Using Machine Learning

Arghadeep Pal; Arghadeep Pal; Alekhya Ghosh; Alekhya Ghosh; Shuangyou Zhang; Toby Bi; Toby Bi; Pascal Del’Haye; Pascal Del’Haye

Conference on Lasers and Electro-Optics/Europe (CLEO/Europe 2023) and European Quantum Electronics Conference (EQEC 2023)
Technical Digest Series (Optica Publishing Group, 2023),
paper ck_8_1

Inverse Design of Microresonators Using Machine Learning

Arghadeep Pal, Alekhya Ghosh, Shuangyou Zhang, Toby Bi, and Pascal Del’Haye

The European Conference on Lasers and Electro-Optics 2023

Munich Germany
26–30 June 2023
ISBN: 979-8-3503-4599-5

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Advanced design methods (ck_8)

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A. Pal, A. Ghosh, S. Zhang, T. Bi, and P. Del’Haye, "Inverse Design of Microresonators Using Machine Learning," in Conference on Lasers and Electro-Optics/Europe (CLEO/Europe 2023) and European Quantum Electronics Conference (EQEC 2023), Technical Digest Series (Optica Publishing Group, 2023), paper ck_8_1.

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Abstract

The rapidly increasing number of ways to fabricate integrated microresonators have led to a demand for optimization of such structures based on the desired optical properties. Tweaking the geometry of photonic structures can alter their dispersion profiles, which can counter optical nonlinearities and influence the intracavity optical dynamics. The parameter D_int describes the integrated dispersion which can be written as.

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