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Conferences > CLEO_QELS > 2019 > FTh3C > FTh3C.2

Machine-learning-assisted topology optimization for highly efficient thermal emitter design

Zhaxylyk A. Kudyshev, Alexander V. Kildishev, Vladimir M. Shalaev, and Alexandra Boltasseva

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Abstract

We coupled generative adversarial network with topology optimization for efficient thermal emitter design development. The proposed method can generate highly efficient metasurface designs with a non-trivial topology for efficient spectral control of thermal blackbody radiation.

© 2019 The Author(s)

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