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Related Experiment Video

Updated: Jun 4, 2026

Silicon Metal-oxide-semiconductor Quantum Dots for Single-electron Pumping

Silicon Metal-oxide-semiconductor Quantum Dots for Single-electron Pumping

Published on: June 3, 2015

Analytical model for depletion-based silicon modulator simulation.

G Rasigade¹, D Marris-Morini, M Ziebell

¹Institut d’Electronique Fondamentale, University Paris Sud, CNRS, bât. 220, 91405 ORSAY Cedex, France.

|March 4, 2011

Summary

This summary is machine-generated.

A new analytical method accurately simulates silicon modulators, offering a fast and efficient approach for optimizing device performance in integrated photonics.

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Area of Science:

Photonics and Optical Engineering
Semiconductor Device Simulation
Integrated Optics

Background:

Silicon modulators are crucial components in optical communication systems.
Accurate and efficient simulation methods are needed for device design and optimization.
Existing simulation techniques can be computationally intensive.

Purpose of the Study:

To present an original analytical method for simulating depletion-based silicon modulators.
To demonstrate the method's speed and efficiency for performance optimization.
To validate the analytical method against established numerical simulations.

Main Methods:

Developing an analytical description of the active region in silicon modulators.
Implementing the analytical model for a lateral diode integrated in a rib waveguide.
Comparing simulation results with classical 2D numerical simulations.

Main Results:

The analytical method provides a fast and efficient simulation of silicon modulators.
Excellent agreement was achieved between the analytical method and 2D numerical simulations.
The study confirms the accuracy and efficiency of the proposed analytical approach.

Conclusions:

The presented analytical method is a viable and effective tool for simulating depletion-based silicon modulators.
This approach facilitates rapid performance optimization of silicon photonic devices.
The method offers a significant advantage in terms of computational speed and efficiency.