scholarly journals Silicon–germanium receivers for short-wave-infrared optoelectronics and communications

Nanophotonics ◽  
2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Daniel Benedikovic ◽  
Léopold Virot ◽  
Guy Aubin ◽  
Jean-Michel Hartmann ◽  
Farah Amar ◽  
...  

AbstractIntegrated silicon nanophotonics has rapidly established itself as intriguing research field, whose outlets impact numerous facets of daily life. Indeed, nanophotonics has propelled many advances in optoelectronics, information and communication technologies, sensing and energy, to name a few. Silicon nanophotonics aims to deliver compact and high-performance components based on semiconductor chips leveraging mature fabrication routines already developed within the modern microelectronics. However, the silicon indirect bandgap, the centrosymmetric nature of its lattice and its wide transparency window across optical telecommunication wavebands hamper the realization of essential functionalities, including efficient light generation/amplification, fast electro-optical modulation, and reliable photodetection. Germanium, a well-established complement material in silicon chip industry, has a quasi-direct energy band structure in this wavelength domain. Germanium and its alloys are thus the most suitable candidates for active functions, i.e. bringing them to close to the silicon family of nanophotonic devices. Along with recent advances in silicon–germanium-based lasers and modulators, short-wave-infrared receivers are also key photonic chip elements to tackle cost, speed and energy consumption challenges of exponentially growing data traffics within next-generation systems and networks. Herein, we provide a detailed overview on the latest development in nanophotonic receivers based on silicon and germanium, including material processing, integration and diversity of device designs and arrangements. Our Review also emphasizes surging applications in optoelectronics and communications and concludes with challenges and perspectives potentially encountered in the foreseeable future.

2020 ◽  
Vol 53 (23) ◽  
pp. 10636-10643
Author(s):  
Lei Lv ◽  
Wei Dang ◽  
Xiaoxi Wu ◽  
Hao Chen ◽  
Tao Wang ◽  
...  

2021 ◽  
Vol 9 (38) ◽  
pp. 13123-13131
Author(s):  
Jinrong Yao ◽  
Fangfang Chen ◽  
Juanjuan Li ◽  
Junli Du ◽  
Di Wu ◽  
...  

A gate-tunable Te/MoS2 vdW heterostructure is fabricated, exhibiting favourable photodetection properties with a response spectrum covering the whole SWIR band.


Author(s):  
Fiona Thorburn ◽  
Xin Yi ◽  
Zoe Greener ◽  
Jaroslaw Kirkoda ◽  
Ross Millar ◽  
...  

Abstract Germanium-on-Silicon (Ge-on-Si) based single-photon avalanche diodes (SPADs) have recently emerged as a promising detector candidate for ultra-sensitive and picosecond resolution timing measurement of short-wave infrared (SWIR) photons. Many applications benefit from operating in the SWIR spectral range, such as long distance Light Detection and Ranging (LiDAR), however, there are few single-photon detectors exhibiting the high-performance levels obtained by all-silicon SPADs commonly used for single-photon detection at wavelengths < 1 μm. This paper first details the advantages of operating at SWIR wavelengths, the current technologies, and associated issues, and describes the potential of Ge-on-Si SPADs as a single-photon detector technology for this wavelength region. The working principles, fabrication and characterisation processes of such devices are subsequently detailed. We review the research in these single-photon detectors and detail the state-of-the-art performance. Finally, the challenges and future opportunities offered by Ge-on-Si SPAD detectors are discussed.


2019 ◽  
Vol 28 (12) ◽  
pp. 128501 ◽  
Author(s):  
Yue Zhao ◽  
Nan Wang ◽  
Kai Yu ◽  
Xiaoming Zhang ◽  
Xiuli Li ◽  
...  

2019 ◽  
Vol 804 ◽  
pp. 18-26 ◽  
Author(s):  
Vidya P. Deviprasad ◽  
Hemant Ghadi ◽  
Debabrata Das ◽  
Debiprasad Panda ◽  
Harshal Rawool ◽  
...  

Agriculture ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 514
Author(s):  
Javier Jorge-Vázquez ◽  
Mª Peana Chivite-Cebolla ◽  
Francisco Salinas-Ramos

The digitization of the agri-food sector is a strategic priority in the political agenda of European institutions. The opportunity to improve the competitiveness and efficiency of the sector offered by new technologies comes together with its potential to face new economic and environmental challenges. This research aims to analyze the level of digitalization of the European agri-food cooperative sector from the construction of a composite synthetic index. Such an index is to be based on a diverse set of variables related to electronic commerce and the services offered through the internet. It also evaluates how European cooperatives influence the degree of technological adoption depending on their size or the wealth of the country where they carry out their activity. The empirical analytical method is thus used, through the analysis of frequencies and correlations. The results obtained reveal the existence of a suboptimal and heterogeneous degree of digitization of European agri-food cooperatives, clearly conditioned by their size and the wealth of the country where they operate. In this situation, it is recommended to promote public policies that guarantee high-performance digital connectivity, an improvement in training in digital skills and the promotion of cooperative integration processes.


Author(s):  
Xieling Chen ◽  
Di Zou ◽  
Haoran Xie ◽  
Fu Lee Wang

AbstractInnovative information and communication technologies have reformed higher education from the traditional way to smart learning. Smart learning applies technological and social developments and facilitates effective personalized learning with innovative technologies, especially smart devices and online technologies. Smart learning has attracted increasing research interest from the academia. This study aims to comprehensively review the research field of smart learning by conducting a topic modeling analysis of 555 smart learning publications collected from the Scopus database. In particular, it seeks answers to (1) what the major research topics concerning smart learning were, and (2) how these topics evolved. Results demonstrate several major research issues, for example, Interactive and multimedia learning, STEM (science, technology, engineering, and mathematics) education, Attendance and attention recognition, Blended learning for smart learning, and Affective and biometric computing. Furthermore, several emerging topics were identified, for example, Smart learning analytics, Software engineering for e-learning systems, IoT (Internet of things) and cloud computing, and STEM education. Additionally, potential inter-topic directions were highlighted, for instance, Attendance and attention recognition and IoT and cloud computing, Semantics and ontology and Mobile learning, Feedback and assessment and MOOCs (massive open online courses) and course content management, as well as Blended learning for smart learning and Ecosystem and ambient intelligence.


2020 ◽  
Vol 32 (38) ◽  
pp. 2001329 ◽  
Author(s):  
Chaoliang Tan ◽  
Matin Amani ◽  
Chunsong Zhao ◽  
Mark Hettick ◽  
Xiaohui Song ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document