Inverse design of an on-chip optical response predictor enabled by a deep neural network

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We proposed inverse-designed nanophotonic waveguide devices which have the desired optical responses in the wide band of 1450-1650 nm. The proposed devices have an ultra-compact size of just 1.5 mu m x 3.0 mu m and are designed on a silicon-on-insulator (SOI) waveguide platform. Individual nano-pixels with dimensions of 150 nm x 150 nm were made of either silicon or silicon dioxide, and the materials for the 200 total cells were determined using a trained deep neural network. While training the two networks, the hyperparameter optimization method was applied to make the training process efficient. We then fabricated the proposed devices using a CMOS-compatible fabrication process, and experimentally verified the fabricated device performance.
Publisher
Optica Publishing Group
Issue Date
2023-01
Language
English
Article Type
Article
Citation

OPTICS EXPRESS, v.31, no.2, pp.2049 - 2060

ISSN
1094-4087
DOI
10.1364/OE.480644
URI
http://hdl.handle.net/10203/305577
Appears in Collection
EE-Journal Papers(저널논문)
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