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Fabrication and Testing of Photonic Thermometers
Published on: October 24, 2018
Integrated NiSi waveguide heaters for CMOS-compatible silicon thermo-optic devices.
Joris Van Campenhout1, William M J Green, Solomon Assefa
1IBM Research, T. J. Watson Research Center, Yorktown Heights, New York 10598, USA. jvancam@us.ibm.com
Optics Letters
|April 6, 2010
Summary
We developed efficient Nickel Silicide (NiSi) heaters for silicon waveguides, achieving low power consumption for thermo-optic phase shifting. These integrated devices show promising performance for silicon photonics applications.
Area of Science:
- Photonics
- Materials Science
- Integrated Optics
Background:
- Silicon photonics relies on efficient on-chip optical modulation.
- Thermo-optic modulators offer a viable solution for phase shifting.
- Developing low-power, CMOS-compatible modulators is crucial for scalability.
Purpose of the Study:
- To characterize the performance of Nickel Silicide (NiSi)-based heaters integrated with submicrometer silicon waveguides.
- To evaluate their efficacy as thermo-optic phase shifters in a Mach-Zehnder interferometer.
- To assess power consumption and response time for potential integrated photonic applications.
Main Methods:
- Fabrication of NiSi heaters using a standard complementary metal-oxide-semiconductor (CMOS) silicidation process.
- Integration of heaters with submicrometer silicon rib waveguides.
- Characterization of thermo-optic phase shift performance in a Mach-Zehnder interferometer setup.
Main Results:
- Achieved low power consumption of 20 mW for a pi phase shift (P(pi)) using CMOS-compatible voltages.
- Measured a fast thermo-optic response time constant of less than 2.8 microseconds.
- Demonstrated the effectiveness of NiSi heaters as efficient thermo-optic phase shifters.
Conclusions:
- NiSi-based heaters offer a low-power and fast-response solution for thermo-optic phase shifting in silicon waveguides.
- The CMOS-compatible fabrication process facilitates integration into existing photonic platforms.
- Further reductions in power consumption are anticipated through simulation-driven optimization.
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