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Conferences > SPPCom > 2021 > JW4B > JW4B.3

Neural-Network-based Design of Tunable Multilayer Films

Jungmin Kim, Sunkyu Yu, and Namkyoo Park

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Abstract

We introduce the data-driven design of multilayers with enhanced tunability. By applying the machine-learning-designed claddings to a phase-changeable core, we obtain the deterministic realization of on-off states in the angular transmittance, achieving tunable engineered disorder.

© 2021 The Author(s)

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