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Dual-Mode Semiconductor Device Enabling Optoelectronic Detection and Neuromorphic Processing with Extended Spectral Responsivity. | LitMetric

AI Article Synopsis

  • High-performance semiconductor devices are essential for advancing miniaturization and integration in technology, despite challenges in combining multiple functions.
  • A newly developed dual-mode device utilizes an ultra-thin AlO passivation layer with a PbS/Si hybrid heterojunction to perform both optoelectronic detection and neuromorphic functions.
  • In optoelectronic mode, it effectively detects a wide range of wavelengths and produces high-quality images, while in neuromorphic mode, it demonstrates strong performance in classifying digits with high accuracy, highlighting its potential for intelligent applications.

Article Abstract

High-performance semiconductor devices capable of multiple functions are pivotal in meeting the challenges of miniaturization and integration in advanced technologies. Despite the inherent difficulties of incorporating dual functionality within a single device, a high-performance, dual-mode device is reported. This device integrates an ultra-thin AlO passivation layer with a PbS/Si hybrid heterojunction, which can simultaneously enable optoelectronic detection and neuromorphic operation. In mode 1, the device efficiently separates photo-generated electron-hole pairs, exhibiting an ultra-wide spectral response from ultraviolet (265 nm) to near-infrared (1650 nm) wavelengths. It also reproduces high-quality images of 256 × 256 pixels, achieving a Q-value as low as 0.00437 µW cm at a light intensity of 8.58 µW cm . Meanwhile, when in mode 2, the as-assembled device with typical persistent photoconductivity (PPC) behavior can act as a neuromorphic device, which can achieve 96.5% accuracy in classifying standard digits underscoring its efficacy in temporal information processing. It is believed that the present dual-function devices potentially advance the multifunctionality and miniaturization of chips for intelligence applications.

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Source
http://dx.doi.org/10.1002/adma.202409406DOI Listing

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