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A CMOS-Compatible Silicon Nanowire Array Natural Light Photodetector with On-Chip Temperature Compensation Using a

Mingbin Liu1, Xin Chen1, Jiaye Zeng1

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Summary
This summary is machine-generated.

This study introduces a silicon nanowire photodetector with integrated temperature sensing and an intelligent compensation system. It enhances natural light detection stability by mitigating thermal interference using a novel hybrid algorithm.

Keywords:
PSO-BP neural networkhighly controllablelow costnatural lightsilicon nanowire arraystemperature compensation

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Area of Science:

  • Optoelectronics
  • Nanotechnology
  • Artificial Intelligence

Background:

  • Silicon nanowire (SiNW) photodetectors offer high sensitivity for natural light detection.
  • Thermal interference significantly degrades SiNW photodetector performance.

Purpose of the Study:

  • To develop a CMOS-compatible SiNW array photodetector with integrated temperature sensing and intelligent compensation.
  • To overcome performance degradation caused by thermal interference in SiNW photodetectors.

Main Methods:

  • Monolithic integration of a dual-array SiNW photodetector and an on-chip temperature sensor.
  • Development of a hybrid temperature compensation algorithm combining Particle Swarm Optimization (PSO) and a Back Propagation (BP) neural network.
  • Optimization of BP network parameters using PSO for improved accuracy and convergence.

Main Results:

  • The PSO-BP model demonstrated superior compensation accuracy and faster convergence compared to traditional BP networks.
  • The optimized model was successfully implemented on an STM32 microcontroller for real-time compensation.
  • The integrated system significantly enhanced photodetector stability and reliability across a wide temperature range.

Conclusions:

  • The proposed intelligent compensation system effectively mitigates thermal interference in SiNW photodetectors.
  • This work presents a viable strategy for developing highly stable and integrated optical sensing systems.
  • The embedded implementation validates the feasibility of real-time, high-accuracy temperature compensation for optical sensors.