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Published on: November 30, 2012
Aluminum plasmonic waveguides co-integrated with Si3N4 photonics using CMOS processes
George Dabos1, Athanasios Manolis2, Dimitris Tsiokos2
1Department of Informatics, Center for Interdisciplinary Research and Innovation, Aristotle University of Thessaloniki, 10th Km Thessalonikis-Thermis Av., 57001, Thessaloniki, Greece. ntamposg@csd.auth.gr.
CMOS-compatible aluminum plasmonic waveguides were co-integrated with silicon nitride photonics. This breakthrough enables high-speed data transmission and paves the way for advanced plasmo-photonic integrated circuits for biosensing and interconnects.
Area of Science:
- Optoelectronics
- Nanophotonics
- Integrated Photonics
Background:
- Plasmonics offers strong light confinement and electronic interfacing, beneficial for on-chip interconnects and biosensors.
- Photonics provides low-loss propagation, compensating for plasmonic losses and enabling passive functions.
- Co-integration of plasmonics and photonics is crucial for advanced plasmo-photonic integrated circuits.
Purpose of the Study:
- To demonstrate the co-integration of aluminum plasmonic waveguides with silicon nitride photonics using CMOS manufacturing processes.
- To validate the performance of this hybrid platform for data communication and sensing applications.
Main Methods:
- Co-integration of aluminum (Al) plasmonic waveguides with silicon nitride (Si3N4) photonic waveguides.
- Utilizing standard CMOS manufacturing processes for fabrication.
- Testing data carrying capacity with 25 Gb/s data traffic.
- Evaluating plasmonic propagation in both air and aqueous environments.
Main Results:
- Successful co-integration of Al plasmonic waveguides and Si3N4 photonics on a CMOS platform.
- Demonstrated data transmission capabilities of 25 Gb/s.
- Confirmed plasmonic mode propagation in both air and water-cladded configurations.
Conclusions:
- The developed platform enables the practical deployment of co-integrated plasmonic and photonic structures.
- This technology holds potential for advancing CMOS-based biosensors and on-chip data interconnects.
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