Abstract
We develop generative deep neural networks that explore relevant statistical structures to expedite a complex inverse design of nanophotonic on-chip wavelength de-multiplexer. Our design, targeting at telecomm-wavelengths, is electrically switchable via liquid crystal tuning.
© 2022 The Author(s)
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