| Issue |
EPJ Web Conf.
Volume 266, 2022
EOS Annual Meeting (EOSAM 2022)
|
|
|---|---|---|
| Article Number | 01008 | |
| Number of page(s) | 2 | |
| Section | Topical Meeting (TOM) 1- Silicon Photonics and Guided-Wave Optics | |
| DOI | https://doi.org/10.1051/epjconf/202226601008 | |
| Published online | 13 October 2022 | |
https://doi.org/10.1051/epjconf/202226601008
Hybrid integration methodology for quantum cascade lasers with germanium waveguides in mid-IR
1 Optoelectronics Research Centre, University of Southampton, University Road, Southampton, Hampshire SO17 1BJ, UK
2 Department of Electronic and Electrical Engineering, Sir Frederick Mappin Building, University of Sheffield, Mappin Street, Sheffield, S1 3JD, UK
* Corresponding author: c.j.mitchell@soton.ac.uk
Published online: 13 October 2022
Mid-infrared quantum cascade lasers (QCLs) operating around 5.7 μm have been integrated with germanium waveguides on silicon substrates. QCL bars have been designed and fabricated at the University of Sheffield for the purpose of integration. This hybrid approach uses flip-chip technology that has been successfully transferred from a silicon-on-oxide (SOI) platform working at communication wavelengths, demonstrating the flexibility of this approach. Integration challenges are introduced, and solutions discussed, leading to the next iteration of design presented here.
© The Authors, published by EDP Sciences
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.