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Automated Design of Optical Thin Films via Statistical Inference and Parallelized Computation

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Abstract

The design of optical films for broadband applications is computationally intensive and algorithmically challenging. Demonstrated here is film design via pseudo-inverse transform sampling and parallelization for light bulb efficiency enhancement.

© 2019 The Author(s)

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