安徽大学学报（自然科学版）2026，Vol.50Issue(3)：36-42,7.DOI:10.3969/j.issn.1000-2162.2026.03.006
基于ReS2/h-BN/石墨烯/h-BN浮栅结构的感存算一体化器件
A sensing-memory-computing integrated device based on ReS2/h-BN/Graphene/h-BN floating-gate structure
摘要
Abstract
Traditional machine vision systems generally adopt an architecture in which image sensing,storage,and processing are separated from each other,resulting in a bloated system structure and low energy efficiency,which seriously limits their application in low-power scenarios.To address this challenge,a floating-gate device,ReS2/h-BN/Graphene/h-BN,with gate-voltage-adj ustable positive and negative bipolar photoresponse behavior was constructed.This device integrates optical sensing,information processing,and storage functions,creating opportunities for the development of new low-power consumption,simple-structure machine vision systems.Furthermore,this work constructed a dataset of handwritten Greek letters(lowercase),conducted pattern recognition testing using a physically weighted 8-bit quantized AlexNet network based on the ambipolar photoresponse characteristics of ReS2/h-BN/Graphene/h-BN devices,and ultimately achieved a system recognition accuracy as high as 99.95％.关键词
感存算一体化/机器视觉系统/浮栅结构/双极性光响应Key words
integrated sensing-memory-computation/machine vision systems/floating-gate structure/bipolar photoresponse分类
信息技术与安全科学引用本文复制引用
方伟杰,王所富,龙明生..基于ReS2/h-BN/石墨烯/h-BN浮栅结构的感存算一体化器件[J].安徽大学学报（自然科学版）,2026,50(3):36-42,7.基金项目
信息材料与智能感知安徽省实验室开放课题(IMIS202207) （IMIS202207）
