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13 March 2024 Bayesian optimal reconfigurable metasurfaces
Mohammad Reza Tavakol, Ashkan Zandi, Mahmood Reza Marzban, Amin Khavasi, Ali Adibi
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Proceedings Volume PC12896, Photonic and Phononic Properties of Engineered Nanostructures XIV; PC128960J (2024) https://doi.org/10.1117/12.3012616
Event: SPIE OPTO, 2024, San Francisco, California, United States
Abstract
In this work, we present an efficient approach based on Bayesian optimization for the design of reconfigurable metaphotonic devices with a considerable reduction in computation for achieving optimal design while reducing the chance of converging to local optimal. The unique features of this approach will be discussed and compared with existing design techniques. To show its practical utility, we will use our approach for designing metasurfaces with reconfigurable absorptance and scattering in a wide wavelength range in the non-volatile, Poly(3,4-ethylenedioxythiophene)/poly (styrenesulfonate) (PEDOT:PSS) as a promising candidate for realization reconfigurable meta-device. Theoretical and experimental results will be presented to further support our claims.
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Mohammad Reza Tavakol, Ashkan Zandi, Mahmood Reza Marzban, Amin Khavasi, and Ali Adibi "Bayesian optimal reconfigurable metasurfaces", Proc. SPIE PC12896, Photonic and Phononic Properties of Engineered Nanostructures XIV, PC128960J (13 March 2024); https://doi.org/10.1117/12.3012616
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KEYWORDS
Design and modelling
Mathematical optimization
Scattering
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