Development and Optimisation of a Photonic Waveguide Device for Methane Detection

Employing the Lumerical Suite, which encompasses FDE, FDTD, and EME tools, we engineered waveguide chips made of SOI and SiN for methane detection at a wavelength of 1650nm. This document details our extensive simulation methodology and tactics for optimizing parameters.

Authors

Institutions

Publication Details

Published
2024-08-04
DOI
https://doi.org/10.1109/cleo-pr60912.2024.10676448
Primary Topic
Spectroscopy and Laser Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development and Optimisation of a Photonic Waveguide Device for Methane Detection

Efstathios Papadimitriou, Sebastian Steigenberger, Sam McQuillan, Indranil Chakraborty et al.
Spectroscopy and Laser Applications
article

Development and Optimisation of a Photonic Waveguide Device for Methane Detection

Efstathios Papadimitriou, Sebastian Steigenberger, Sam McQuillan, Indranil Chakraborty, Frédéric Y. Gardes, Zengbo Wang, Matthew C. Mowlem, Rand Ismaeel
article en

Abstract

Employing the Lumerical Suite, which encompasses FDE, FDTD, and EME tools, we engineered waveguide chips made of SOI and SiN for methane detection at a wavelength of 1650nm. This document details our extensive simulation methodology and tactics for optimizing parameters.

National Oceanography Centre (GB), University of Southampton (GB)
Sight Research UK, Natural Environment Research Council
Affordable and clean energy
Openalex Percentile: Top 88%
Spectroscopy and Laser Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.