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Ultrasensitive dim-light neuromorphic vision sensing via momentum-conserved reconfigurable van der Waals heterostructure.

Authors :
Xu, Lei
Liu, Junling
Guo, Xinrui
Liu, Shuo
Lai, Xilin
Wang, Jingyue
Yu, Mengshi
Xie, Zhengdao
Peng, Hailin
Zou, Xuming
Wang, Xinran
Huang, Ru
He, Ming
Source :
Nature Communications; 10/18/2024, Vol. 15 Issue 1, p1-11, 11p
Publication Year :
2024

Abstract

Reconfigurable phototransistors featuring bipolar photoresponses are favorable for manipulating high-performance neuromorphic vision sensory. Here, we present a momentum-conserved reconfigurable phototransistor based on the van der Waals heterojunction between methylammonium lead iodide perovskite and two-dimensional Bi<subscript>2</subscript>O<subscript>2</subscript>Se semiconductor, which exhibits a synergistic interplay of interband hot-carrier transitions and reconfigurable heterointerface band alignments, eventually achieving the ultrahigh bipolar optoelectronic performances with the photoresponsivity of 6×10<superscript>7</superscript> AW<superscript>−1</superscript>, accompanied by the specific detectivity of 5.2×10<superscript>11</superscript> Jones, and the dynamic range of 110 dB. Moreover, A 3×3 heterotransistor array is fabricated to perform in-sensor analog multiply-accumulate operations even under the challenging dim illumination of 0.1 μWcm<superscript>−2</superscript> that comparable to natural moonlight. The reconfigurable heterotransistor array can be further adopted to enhance the traffic-light detection under dim-light conditions. Our advancement in momentum-conserved reconfigurable heterotransistor signifies a leap forward in real-time, energy-efficient, and low-light image processing for neuromorphic vision sensors. Xu et al. report reconfigurable phototransistors based on MAPbI<subscript>3</subscript>/Bi<subscript>2</subscript>O<subscript>2</subscript>Se heterostructure, with momentum conservation promotes hot carrier extraction and interlayer carrier transport. Heterotransistor array enables traffic light signal detection under dim light, assisted by YOLOv4 neural network. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20411723
Volume :
15
Issue :
1
Database :
Complementary Index
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
180370030
Full Text :
https://doi.org/10.1038/s41467-024-53268-4