| Issue |
EPJ Web Conf.
Volume 255, 2021
EOS Annual Meeting (EOSAM 2021)
|
|
|---|---|---|
| Article Number | 01002 | |
| Number of page(s) | 3 | |
| Section | Topical Meeting (TOM) 1- Silicon Photonics and Guided-Wave Optics | |
| DOI | https://doi.org/10.1051/epjconf/202125501002 | |
| Published online | 18 November 2021 | |
https://doi.org/10.1051/epjconf/202125501002
Heterostructured silicon-germanium-silicon p-i-n avalanche photodetectors for chip-integrated optoelectronics -INVITED
1 Dept. Multimedia and Information-Communication Technologies, University of Žilina,, 01026 Žilina, Slovakia
2 UniversitéParis-Saclay, CNRS, Centre de Nanosciences et de Nanotechnologies, 91120 Palaiseau, France
3 University Grenoble Alpes and CEA, LETI, 38054 Grenoble, France
4 STMicroelectronics, Silicon Technology Development, 38923 Crolles, France
* Corresponding author: daniel.benedikovic@c2n.upsaclay.fr & daniel.benedikovic@uniza.sk
Published online: 18 November 2021
Optical photodetectors are at the forefront of photonic research since the rise of integrated optics. Photodetectors are fundamental building blocks for chip-scale optoelectronics, enabling conversion of light into an electrical signal. Such devices play a key role in many surging applications from communication and computation to sensing, biomedicine and health monitoring, to name a few. However, chip integration of optical photodetectors with improved performances is an on-going challenge for mainstream optical communications at near-infrared wavelengths. Here, we present recent advances in heterostructured silicon-germanium-silicon p-i-n photodetectors, enabling high-speed detection on a foundry-compatible monolithic platform.
© The Authors, published by EDP Sciences, 2021
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.