Work

Single Mode rib waveguide design using Machine Learning techniques

Year: 2024

Type: article

Abstract: \nThis work aim to determine a Single Mode (SM) Silicon-On-Insulator (SOI) rib waveguide using Machine learning (ML) techniques, which learn automatically by matching the input data with the target property. Random Forest (RF) is the ML algorithm used in this work. The accuracy of the model reaches 99% by using R2 score. The device is a rib waveguide based on Silicon (Si), with a cladding made of Silica (SiO2). The results obtained illustrate the conditions for SM, with the width and the rib etch-depth found to be relatively smaller compared to the total thickness. The ML approach have proven to be quick and effective regarding this problem.\n

Source: Springer Link (Chiba Institute of Technology)

DOI: 10.1051/epjconf/202430901010/pdf

Authors: Mohamed Mammeri, Babak Hashemi, Teresa Crisci, Stefano Vergari, Fabrizio Gradassi, Maurizio Casalino, Francesco Giuseppe Della Corte

Institutions: University of Naples Federico II, University of Reggio Calabria, Institute of Applied Science and Intelligent Systems, National Research Council

Language: English

Topic: Photonic and Optical Devices

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funder: European Commission

OpenAlex ID: W6884567558

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