This analysis demonstrates improved coupling efficiency in silicon photonic chips using colloidal quantum dots and Ag reflectors.
On-chip silicon photonic chips are critical in various applications including chip-to-chip communication, sensing, and near-eye display technologies, but they all face significant challenges in efficiently coupling light sources onto the chip. This study introduces a design adopting colloidal quantum dot light-emitting diode (QLED) as an on-chip light source coupled with optimized Ag reflectors below and within the SiN waveguide. The inclined Ag reflector was positioned directly below the QLED within the GaN waveguide with an optimal angle of 45° and 100 nm thickness, along with a planar Ag reflector 500 nm below the waveguide with 200 nm thickness. Numerical simulation results indicate that at a distance of 50 μm from the QLED center, the average coupling efficiency of the device is 9.76%, which is 2.58 times higher than the counterpart without the Ag reflector. These findings demonstrate a significant improvement in coupling efficiency, suggesting a promising approach for future on-chip light source designs. Received: 11 March 2025 | Revised: 14 May 2025 | Accepted: 29 July 2025 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. Data Availability Statement Data are available from the corresponding author upon reasonable request. Author Contribution Statement Jiajun Zhu: Validation, Formal analysis, Investigation, Data curation, Writing – original draft, Writing – review & editing, Visualization. Yuxuan Ye: Software, Validation, Data curation, Writing – original draft, Writing – review & editing. Fankai Zheng: Software, Validation, Investigation. Yilan Zhang: Writing – review & editing, Visualization. Zhiyang Lu: Software, Writing – review & editing. Hechun Zhang: Data curation, Writing – review & editing. Sifan Chen: Writing – review & editing, Supervision. Jiongwen Fang: Writing – review & editing. Yunji Yi: Methodology, Resources, Writing – review & editing, Supervision. Kai Wang: Methodology, Resources, Writing – review & editing, Supervision. Dan Wu: Conceptualization, Methodology, Resources, Writing – review & editing, Supervision, Project administration, Funding acquisition.
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