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Compact Nonvolatile Reconfigurable Mode Converter by Sb2S3 Embedded in 4H-Silicon-Carbide-on-Insulator Platform
Danfeng Zhu1, Junbo Chen1, Shaobin Qiu1
1Meizhou Intelligent Photoelectric Detection Application Engineering Technology Research Center, School of Physics and Electrical Engineering, Jiaying University, Meizhou 514015, China.
This study introduces a compact nonvolatile reconfigurable mode converter on a 4H-silicon-carbide-on-insulator platform. It efficiently converts optical modes using phase-change material, enabling advanced integrated optics.
Area of Science:
- Integrated Optics
- Materials Science
- Nanophotonics
Background:
- Nonvolatile switching is a key technology for advanced integrated optical circuits.
- Reconfigurable optical devices are crucial for flexible optical signal processing.
- Silicon carbide-on-insulator (SiCOI) offers excellent optical properties for integrated photonics.
Purpose of the Study:
- To propose and demonstrate a compact nonvolatile reconfigurable mode converter.
- To utilize phase-change material (Sb2S3) for optical mode manipulation.
- To achieve high-efficiency mode conversion in a small footprint for integrated optics.
Main Methods:
- Fabrication of a 4H-SiCOI waveguide with embedded Sb2S3 film.
- Manipulation of Sb2S3 phase states (crystalline and amorphous) to control optical properties.
- Characterization of mode conversion efficiency (transmittance and mode purity) across a wavelength band.
Main Results:
- Achieved high transmittance (>0.91) and mode purity (>91.72%) for TM0 to TM1 mode conversion in crystalline Sb2S3.
- Demonstrated suppressed mode conversion (T ≥ 0.99, MP0 ≥ 97.65%) in amorphous Sb2S3.
- Showcased a broad range of transmittance and mode purity differences across partially crystallized states, indicating multi-level manipulation capability.
Conclusions:
- The proposed device offers efficient and reconfigurable optical mode conversion.
- The multi-level manipulation capability of Sb2S3 is suitable for large communication capacity.
- The device is robust and has potential applications in neuromorphic optical computing.
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