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Designing Ultra-Compact Silicon T-junctions using Machine Learning

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Abstract

We designed an ultra-compact and low-loss T-junction via a reinforcement learning algorithm coupled with finite difference time domain (FDTD) simulations. Simulated insertion loss is < 1dB with a device footprint of 1.2 μm x 1.2 μm.

© 2020 The Author(s)

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