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Updated: Jun 8, 2026

Terahertz Microfluidic Sensing Using a Parallel-plate Waveguide Sensor

Terahertz Microfluidic Sensing Using a Parallel-plate Waveguide Sensor

Published on: August 30, 2012

General design flow for waveguide Bragg gratings.

Frank Brückerhoff-Plückelmann^1,2, Tim Buskasper^1,3, Julius Römer²

¹Center for NanoTechnology (CeNTech), Heisenbergstr. 11, 48149 Münster, Germany.

Nanophotonics (Berlin, Germany)

|February 19, 2025

Summary

This summary is machine-generated.

We present a new simulation and design framework for waveguide Bragg gratings (WBGs). This approach precisely designs WBGs for various layer stacks and wavelengths, overcoming limitations of previous methods.

Keywords:

integrated signal processing photonic longpass filter waveguide Bragg gratings

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Last Updated: Jun 8, 2026

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Published on: April 20, 2016

Area of Science:

Photonics and Optical Engineering
Materials Science

Background:

Bragg gratings are essential for photonic signal processing in applications like biosensing and computing.
Designing integrated waveguide Bragg gratings (WBGs) for specific wavelengths is challenging, especially with complex material structures.

Purpose of the Study:

To introduce a general simulation and design framework for waveguide Bragg gratings (WBGs).
To enable precise design and optimization of WBGs for diverse layer stacks and wavelengths.

Main Methods:

Combined coupled mode theory with 3D finite-element method (FEM) eigenfrequency computations.
Developed a general framework applicable to various device layer stacks.

Main Results:

Achieved precise design and optimization of WBGs across a broad range of device layer stacks.
Demonstrated a design flow applicable to numerous layer stacks and wavelengths.

Conclusions:

The developed framework overcomes limitations of traditional approximations for WBGs.
This approach facilitates the design of WBGs for advanced photonic applications.