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Data-Driven Engineering of Active Photonic Disorder

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Abstract

We propose data-driven engineering of active light-disorder interactions. Neural networks generate the family of disorders for active multilayer structures having similar modulation sensitivity, enabling the independent controls of multiple wave-material characteristics.

© 2022 The Author(s)

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