Design of a silicon Mach–Zehnder modulator via deep learning and evolutionary algorithms
Abstract As an essential block in optical communication systems, silicon (Si) Mach–Zehnder modulators (MZMs) are approaching the limits of possible performance for high-speed applications. However, due to a large number of design parameters and the complex simulation of these devices, achieving high...
Main Authors: | Romulo Aparecido de Paula, Ivan Aldaya, Tiago Sutili, Rafael C. Figueiredo, Julian L. Pita, Yesica R. R. Bustamante |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-09-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-41558-8 |
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