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Conferences > NOMA > 2022 > NoM3C > NoM3C.4

Deep Neural Networks for the Topological Optimization of Metasurfaces

Timo Gahlmann and Philippe Tassin

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Abstract

We show that a modified CGAN machine learning method that balances the accuracy of desired optical properties with experimental feasibility can solve the free-form inverse design of nanophotonic matasurfaces.

© 2022 The Author(s)

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