People | Locations | Statistics |
---|---|---|
Naji, M. |
| |
Motta, Antonella |
| |
Aletan, Dirar |
| |
Mohamed, Tarek |
| |
Ertürk, Emre |
| |
Taccardi, Nicola |
| |
Kononenko, Denys |
| |
Petrov, R. H. | Madrid |
|
Alshaaer, Mazen | Brussels |
|
Bih, L. |
| |
Casati, R. |
| |
Muller, Hermance |
| |
Kočí, Jan | Prague |
|
Šuljagić, Marija |
| |
Kalteremidou, Kalliopi-Artemi | Brussels |
|
Azam, Siraj |
| |
Ospanova, Alyiya |
| |
Blanpain, Bart |
| |
Ali, M. A. |
| |
Popa, V. |
| |
Rančić, M. |
| |
Ollier, Nadège |
| |
Azevedo, Nuno Monteiro |
| |
Landes, Michael |
| |
Rignanese, Gian-Marco |
|
Wang, Fengwen
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (18/18 displayed)
- 2021On the competition for ultimately stiff and strong architected materialscitations
- 2018Benchmarking state-of-the-art numerical simulation techniques for analyzing large photonic crystal membrane line defect cavities
- 2018Benchmarking state-of-the-art numerical simulation techniques for analyzing large photonic crystal membrane line defect cavities
- 2018Benchmarking state-of-the-art optical simulation methods for analyzing large nanophotonic structures
- 2018Benchmarking state-of-the-art optical simulation methods for analyzing large nanophotonic structures
- 2018Benchmarking five numerical simulation techniques for computing resonance wavelengths and quality factors in photonic crystal membrane line defect cavitiescitations
- 2018Which Computational Methods Are Good for Analyzing Large Photonic Crystal Membrane Cavities?
- 2018Which Computational Methods Are Good for Analyzing Large Photonic Crystal Membrane Cavities?
- 2018Investment casting and experimental testing of heat sinks designed by topology optimizationcitations
- 2018Benchmarking five numerical simulation techniques for computing resonance wavelengths and quality factors in photonic crystal membrane line defect cavitiescitations
- 2017Comparison of Five Computational Methods for Computing Q Factors in Photonic Crystal Membrane Cavities
- 2017Comparison of Five Computational Methods for Computing Q Factors in Photonic Crystal Membrane Cavities
- 2017Benchmarking five computational methods for analyzing large photonic crystal membrane cavitiescitations
- 2017Benchmarking five computational methods for analyzing large photonic crystal membrane cavitiescitations
- 2015Topology Optimized Architectures with Programmable Poisson's Ratio over Large Deformationscitations
- 2014Design of materials with prescribed nonlinear propertiescitations
- 2011Modelling of Active Semiconductor Photonic Crystal Waveguides and Robust Designs based on Topology Optimization
- 2011Modelling of Active Semiconductor Photonic Crystal Waveguides and Robust Designs based on Topology Optimization
Places of action
Organizations | Location | People |
---|
document
Modelling of Active Semiconductor Photonic Crystal Waveguides and Robust Designs based on Topology Optimization
Abstract
In this paper, we present a theoretical analysis of slow-light enhanced light amplification in an active semiconductor photonic crystal line defect waveguide. The impact of enhanced light-matter interactions on propagation effects and local carrier dynamics are investigated in the framework of the Lorentz reciprocity theorem. We highlight topology optimization as a systematic and robust design methodology considering manufacturing imperfections in optimizing active photonic crystal device performances, and compare the performance of standard photonic crystal waveguides with optimized structures.