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Thin-Film Design Refinement Via Efficient Parallel Combinatorial Search

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Abstract

Thin-film refinement is demonstrated based on a simple merit function structure-aware combinatorial search around a starting design. The approach scales to large compute clusters and has efficiently improved designs stuck at local minima.

© 2016 Optical Society of America

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