001     1024783
005     20250203103151.0
024 7 _ |a 10.1117/12.2646181
|2 doi
037 _ _ |a FZJ-2024-02449
100 1 _ |a El Kurdi, Moustafa
|0 P:(DE-HGF)0
|b 0
111 2 _ |a Silicon Photonics XVIII
|c San Francisco
|d 2023-01-28 - 2023-02-03
|w United States
245 _ _ |a GeSnOI technology enabling room temperature lasing with GeSn alloys
260 _ _ |c 2023
336 7 _ |a Conference Paper
|0 33
|2 EndNote
336 7 _ |a Other
|2 DataCite
336 7 _ |a INPROCEEDINGS
|2 BibTeX
336 7 _ |a conferenceObject
|2 DRIVER
336 7 _ |a LECTURE_SPEECH
|2 ORCID
336 7 _ |a Conference Presentation
|b conf
|m conf
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|s 1714556015_3947
|2 PUB:(DE-HGF)
|x Invited
520 _ _ |a GeSn alloys are the most promising direct band gap semiconductors to demonstrate full CMOS-compatible laser integration with a manufacturing from Group-IV materials. Since the first demonstration of lasing with GeSn alloys up to 100 K, many researches were devoted to increase the laser operation up to room temperature. We will discuss the band sructure requirements and the practical issues that have to be addressed in order to reach robust gain with increasing temperature. We show that misfit defects managment and strain engineering are key ingredients. For that purpose we developped a GeSn-On-Insulator platform, that combine strain engineering , defective interfacial layer removal and laser resonator designs ad fabrication. Here we show that room temperature lasing, up to 300 K, can be obtained in microdisk resonators fabricated on a GeSnOI layer both with using high Sn-content in the gain medium, e. g. 17% or with applying tensile strain to a layer with lower Sn-content of 14%.
536 _ _ |a 5234 - Emerging NC Architectures (POF4-523)
|0 G:(DE-HGF)POF4-5234
|c POF4-523
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef Conference
700 1 _ |a Bjelajac, Andjelika
|0 P:(DE-HGF)0
|b 1
700 1 _ |a Gromovyi, Maksym
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Sakat, Emilie
|0 P:(DE-HGF)0
|b 3
700 1 _ |a Ikonic, Zoran
|0 P:(DE-HGF)0
|b 4
700 1 _ |a Reboud, Vincent
|0 P:(DE-HGF)0
|b 5
700 1 _ |a Chelnokov, Alexei
|0 P:(DE-HGF)0
|b 6
700 1 _ |a Pauc, Nicolas
|0 P:(DE-HGF)0
|b 7
700 1 _ |a Calvo, Vincent
|0 P:(DE-HGF)0
|b 8
700 1 _ |a Hartmann, Jean-Michel
|0 P:(DE-HGF)0
|b 9
700 1 _ |a Buca, Dan
|0 P:(DE-Juel1)125569
|b 10
|e Corresponding author
700 1 _ |a Reed, Graham T.
|0 P:(DE-HGF)0
|b 11
|e Editor
700 1 _ |a Knights, Andrew P.
|0 P:(DE-HGF)0
|b 12
|e Editor
773 _ _ |a 10.1117/12.2646181
909 C O |o oai:juser.fz-juelich.de:1024783
|p VDB
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 10
|6 P:(DE-Juel1)125569
913 1 _ |a DE-HGF
|b Key Technologies
|l Natural, Artificial and Cognitive Information Processing
|1 G:(DE-HGF)POF4-520
|0 G:(DE-HGF)POF4-523
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|v Neuromorphic Computing and Network Dynamics
|9 G:(DE-HGF)POF4-5234
|x 0
914 1 _ |y 2024
920 1 _ |0 I:(DE-Juel1)PGI-9-20110106
|k PGI-9
|l Halbleiter-Nanoelektronik
|x 0
980 _ _ |a conf
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)PGI-9-20110106
980 _ _ |a UNRESTRICTED


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