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Design of a highly selective radiative cooling structure accelerated by materials informatics

Abstract

Materials informatics is a data-driven approach that integrates material property simulation/experiment with an informatics algorithm to accelerate materials design. In this work, we report the optimization design of thermal photonic structures for radiative cooling applications by a method combining the rigorous coupled wave analysis and Bayesian optimization. The structure with optimal thermal radiative property can be obtained by calculating only less than 1% of total candidate structures. The present work is, to the best of our knowledge, the first trial using Bayesian optimization for radiative cooling device design that successfully tailored the thermal emittance falling selectively within the atmospheric window by hybrid grating and multilayer structures.

© 2020 Optical Society of America

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