Bayesian optimal reconfigurable metasurfaces

Le résumé fourni par la source

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.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.