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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Vydané v:	Scientific reports Ročník 13; číslo 1; s. 14662 - 12
Hlavní autori:	Aparecido de Paula, Romulo, Aldaya, Ivan, Sutili, Tiago, Figueiredo, Rafael C., Pita, Julian L., Bustamante, Yesica R. R.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Nature Publishing Group UK 05.09.2023 Nature Publishing Group Nature Portfolio
Predmet:	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
On-line prístup:	Získať plný text
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