Jun Xie, Shuang Ge, Xiaoning Zhao, Ya Lin, Zhongqiang Wang, Ye Tao, Haiyang Xu, Yichun Liu
{"title":"Reconfigurable Floating‐Gate van der Waals Phototransistor With Asymmetric Contact Geometries for Bio‐Inspired Multi‐Stage Visual Tasks","authors":"Jun Xie, Shuang Ge, Xiaoning Zhao, Ya Lin, Zhongqiang Wang, Ye Tao, Haiyang Xu, Yichun Liu","doi":"10.1002/lpor.72081","DOIUrl":null,"url":null,"abstract":"Bio‐inspired optoelectronic devices with in‐sensor neuromorphic computing capability are promising for artificial visual applications. However, the biological visual system possesses simultaneous sensing and multi‐stage processing capability through the retina and visual cortex. Different device types and materials are required to emulate specific visual functions, which will unavoidably pose complexity in integration and limit the scalability. Herein, we report a WSe <jats:sub>2</jats:sub> /h‐BN/Graphene reconfigurable floating‐gate van der Waals phototransistor (RFGPT) featuring a laterally asymmetric contact geometry. The device exhibits reconfigurable optoelectronic functionality via gate voltage modulation, including photodetection mode with bipolar photoresponse and optoelectronic synapse mode with short‐term memory. The RFGPT fulfills versatile neuromorphic image processing functions, including retina‐level pre‐processing (edge extraction) and cortex‐level processing (image recognition). The RFGPT provides a fundamental unit to develop artificial visual hardware with reduced fabrication complexity and enhanced scalability for efficient in‐sensor computing.","PeriodicalId":204,"journal":{"name":"Laser & Photonics Reviews","volume":"292 1","pages":""},"PeriodicalIF":9.7000,"publicationDate":"2026-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Laser & Photonics Reviews","FirstCategoryId":"101","ListUrlMain":"https://doi.org/10.1002/lpor.72081","RegionNum":1,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"OPTICS","Score":null,"Total":0}
引用次数: 0
Abstract
Bio‐inspired optoelectronic devices with in‐sensor neuromorphic computing capability are promising for artificial visual applications. However, the biological visual system possesses simultaneous sensing and multi‐stage processing capability through the retina and visual cortex. Different device types and materials are required to emulate specific visual functions, which will unavoidably pose complexity in integration and limit the scalability. Herein, we report a WSe 2 /h‐BN/Graphene reconfigurable floating‐gate van der Waals phototransistor (RFGPT) featuring a laterally asymmetric contact geometry. The device exhibits reconfigurable optoelectronic functionality via gate voltage modulation, including photodetection mode with bipolar photoresponse and optoelectronic synapse mode with short‐term memory. The RFGPT fulfills versatile neuromorphic image processing functions, including retina‐level pre‐processing (edge extraction) and cortex‐level processing (image recognition). The RFGPT provides a fundamental unit to develop artificial visual hardware with reduced fabrication complexity and enhanced scalability for efficient in‐sensor computing.
期刊介绍:
Laser & Photonics Reviews is a reputable journal that publishes high-quality Reviews, original Research Articles, and Perspectives in the field of photonics and optics. It covers both theoretical and experimental aspects, including recent groundbreaking research, specific advancements, and innovative applications.
As evidence of its impact and recognition, Laser & Photonics Reviews boasts a remarkable 2022 Impact Factor of 11.0, according to the Journal Citation Reports from Clarivate Analytics (2023). Moreover, it holds impressive rankings in the InCites Journal Citation Reports: in 2021, it was ranked 6th out of 101 in the field of Optics, 15th out of 161 in Applied Physics, and 12th out of 69 in Condensed Matter Physics.
The journal uses the ISSN numbers 1863-8880 for print and 1863-8899 for online publications.