InP Quantum Dots Tailored Oxide Thin Film Phototransistor for Bioinspired Visual Adaptation

The exploration of bionic neuromorphic chips, capable of processing sensory data in a human-like manner, is both a trend and a challenge. There is a strong demand for phototransistors that offer broadband in-sensor adaptability. This study introduces a bioinspired vision sensor based on InP quantum dots (QDs)/InSnZnO hybrid phototransistors. This novel design combines the excellent electrical transportation features of oxide semiconductors with the superior optoelectronic response of InP QDs. The resulting hybrid devices exhibit exceptional gate controllability and a robust visible-light response. These characteristics enable the emulation of multiple functions of the human visual system and the accommodation of varying light intensity environments. Furthermore, the phototransistor array successfully replicates the scotopic and photopic adaptation recognition behaviors of the human retina. Notably, the device demonstrates faultless competency in image processing, achieving an impressive 93% accuracy for digit recognition. These findings contribute to the advancement of bionic neuromorphic chips and offer promising opportunities for future developments in the bioinspired visual system. A broadband phototransistor is designed by combining the excellent electrical transportation features of oxide semiconductors with the superior optoelectronic response of InP quantum dots (QDs). The phototransistor array manifests a realistic environmental self-adaptation process on perceiving simple letters. Handwriting pattern recognition accuracy reaches 93% due to the satisfactory weight update linearity, demonstrating its faultless competence for image processing capabilities.image