Hybrid Machine Learning and Optimization Methods for Optical Coating Designs

Haozhu Wang; L. Jay Guo

doi:10.1364/OIC.2022.TB.6

Optical Interference Coatings Conference (OIC) 2022
Technical Digest Series (Optica Publishing Group, 2022),
paper TB.6
•https://doi.org/10.1364/OIC.2022.TB.6

Hybrid Machine Learning and Optimization Methods for Optical Coating Designs

Haozhu Wang and L. Jay Guo

Optical Interference Coatings 2022

Whistler, British Columbia Canada
19–24 June 2022
ISBN: 978-1-957171-04-3

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H. Wang and L. J. Guo, "Hybrid Machine Learning and Optimization Methods for Optical Coating Designs," in Optical Interference Coatings Conference (OIC) 2022, R. Sargent and A. Sytchkova, eds., Technical Digest Series (Optica Publishing Group, 2022), paper TB.6.

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Abstract

Numerical optimization methods for optical coating designs are often time-consuming. In this work, we show that combining machine learning with optimization can improve efficiency and even lead to better designs.

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