Programmable van der Waals Heterojunction for Multifunctional Integration

Read full text
Authors: An Gui, Yutao Song, T F Li, Kaiwen Gong, Haozhe Li, Haoran Mu, Rong Yang, Lei Liao, G L Zhang, Shenghuang Lin
Cited by: 1
References: 66

Abstract

ABSTRACT Machine vision systems in real‐world applications require devices capable of adapting to multiple operational modes, including high‐sensitivity photodetection, neuromorphic synaptic behavior, and optical memory. However, integrating these distinct optoelectronic functionalities into a single device presents a challenge due to their conflicting requirements for photoresponse time and retention. Here, a gate‐programmable multifunctional transistor based on a MoS 2 /MAPbBr 3 van der Waals (vdW) heterostructure is fabricated. By using the gate field to tune the interfacial electric field and trapping/release kinetics associated with shallow‐ and deep‐level states, the device can be programmed to operate as a photodetector, synaptic transistor, and gate‐bias‐assisted multilevel optical memory. Under a positive gate voltage ( V G ), a pronounced photogating effect enables photodetection with responsivity ( R ) of ∼2397 A/W. At V G = –20 V, the device switches to synaptic mode. At a more negative gate bias, the device enters a gate‐bias‐assisted optical‐memory mode under sustained gate bias. To illustrate the utility of this programmable multifunctionality, frequency‐encoded image recognition is demonstrated with 96.4% accuracy. In addition, a device‐enabled reservoir‐computing (RC) scheme with software‐assisted readout improves classification accuracy by ~20% through deep delay‐based processing. This work demonstrates a multimodal transistor architecture that integrates multiple optoelectronic functions in a single device and suggests a compact hardware route toward adaptive in‐sensor optical information processing.

Fields of Study & Subjects

Neural Networks and Reservoir Computing 2D Materials and Applications Advanced Memory and Neural Computing

Publication details

Journal / source
SmartMat
Publisher
Wiley
Volume
7
Issue
4
Publication date
16 July 2026
Language
EN