Wei Li, Tianhui Mu, Ze Sun, Shiyan Zhang, Yang Yu, Fan Bi, Jiaying Li, Yucheng Wang, Yupan Wu, Xuetao Gan, Shaoxi Wang
{"title":"Reconfigurable Multifunctional Semifloating Gate Transistors Based on the ReSe<sub>2</sub>/h-BN/Graphene van der Waals Heterostructure.","authors":"Wei Li, Tianhui Mu, Ze Sun, Shiyan Zhang, Yang Yu, Fan Bi, Jiaying Li, Yucheng Wang, Yupan Wu, Xuetao Gan, Shaoxi Wang","doi":"10.1021/acsami.4c22368","DOIUrl":null,"url":null,"abstract":"<p><p>In the post-Moore era, semifloating gate devices have great potential to be developed into next-generation devices for their excellent nonvolatile memory and reconfigurable logic. 2D materials have been focused due to their atomically flat surfaces, high carrier mobility, and excellent photoelectrical response. The 2D ReSe<sub>2</sub> is selected as a channel material for its ambipolar characteristic and outstanding optoelectronic response. Here, we fabricated ReSe<sub>2</sub>/h-BN/Gr multifunctional semifloating gate (MFSFG) devices, which can work as bidirectional nonvolatile reconfigurable multistate P-N and N-P homojunctions, photodetectors, and artificial synaptic, reconfigurable logical, and half-wave rectification devices. The device exhibits large rectification ratios of ∼10<sup>6</sup> (P-N) and ∼10<sup>4</sup> (N-P) with great endurance (1000 cycles) and retention (1000 s). As a photodetector, it obtains the highest responsivity and detectivity of 1.98 A W<sup>-1</sup> and 6.39 × 10<sup>12</sup> Jones (N-P) and 0.93 A W<sup>-1</sup> and 2.00 × 10<sup>12</sup> Jones (P-N), respectively, under 532 nm illumination. The synaptic plasticity is perfectly achieved, and the convolutional neural network built based on synaptic data has the highest classification recognition accuracies of 96.54 and 88.99%. The logical ″XOR″, ″XNOR″, ″NAND″, ″OR″, and half-wave rectification functions are achieved on a single device under photoelectrical hybrid regulations. The integration of these various functions into a single ReSe<sub>2</sub>/h-BN/Gr MFSFG device not only broadens the possibilities for utilizing 2D materials in multifunctional devices but also opens up new avenues for their application in neuromorphic computing and logic-in-memory chips.</p>","PeriodicalId":5,"journal":{"name":"ACS Applied Materials & Interfaces","volume":" ","pages":"18623-18635"},"PeriodicalIF":8.3000,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Materials & Interfaces","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1021/acsami.4c22368","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/3/16 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
In the post-Moore era, semifloating gate devices have great potential to be developed into next-generation devices for their excellent nonvolatile memory and reconfigurable logic. 2D materials have been focused due to their atomically flat surfaces, high carrier mobility, and excellent photoelectrical response. The 2D ReSe2 is selected as a channel material for its ambipolar characteristic and outstanding optoelectronic response. Here, we fabricated ReSe2/h-BN/Gr multifunctional semifloating gate (MFSFG) devices, which can work as bidirectional nonvolatile reconfigurable multistate P-N and N-P homojunctions, photodetectors, and artificial synaptic, reconfigurable logical, and half-wave rectification devices. The device exhibits large rectification ratios of ∼106 (P-N) and ∼104 (N-P) with great endurance (1000 cycles) and retention (1000 s). As a photodetector, it obtains the highest responsivity and detectivity of 1.98 A W-1 and 6.39 × 1012 Jones (N-P) and 0.93 A W-1 and 2.00 × 1012 Jones (P-N), respectively, under 532 nm illumination. The synaptic plasticity is perfectly achieved, and the convolutional neural network built based on synaptic data has the highest classification recognition accuracies of 96.54 and 88.99%. The logical ″XOR″, ″XNOR″, ″NAND″, ″OR″, and half-wave rectification functions are achieved on a single device under photoelectrical hybrid regulations. The integration of these various functions into a single ReSe2/h-BN/Gr MFSFG device not only broadens the possibilities for utilizing 2D materials in multifunctional devices but also opens up new avenues for their application in neuromorphic computing and logic-in-memory chips.
期刊介绍:
ACS Applied Materials & Interfaces is a leading interdisciplinary journal that brings together chemists, engineers, physicists, and biologists to explore the development and utilization of newly-discovered materials and interfacial processes for specific applications. Our journal has experienced remarkable growth since its establishment in 2009, both in terms of the number of articles published and the impact of the research showcased. We are proud to foster a truly global community, with the majority of published articles originating from outside the United States, reflecting the rapid growth of applied research worldwide.