Design of a silicon Mach–Zehnder modulator via deep learning and evolutionary algorithms

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-performa...

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Bibliographic Details
Published in:	Scientific reports Vol. 13; no. 1; pp. 14662 - 12
Main Authors:	Aparecido de Paula, Romulo, Aldaya, Ivan, Sutili, Tiago, Figueiredo, Rafael C., Pita, Julian L., Bustamante, Yesica R. R.
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 05.09.2023 Nature Publishing Group Nature Portfolio
Subjects:	639/166 639/166/987 639/624 639/624/1075/1079 639/624/1075/401 Algorithms Communications systems Deep learning Design Humanities and Social Sciences multidisciplinary Neural networks Optimization Problem solving Science Science (multidisciplinary) Silicon Simulation Voltage
ISSN:	2045-2322, 2045-2322
Online Access:	Get full text
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