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Position-Selective MoS2 Photoresponse Dynamics for In-Sensor Encoding of Motion History

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dc.contributor.authorYun, Hyuncheol-
dc.contributor.authorPark, Hyeonsu-
dc.contributor.authorKim, Yelim-
dc.contributor.authorHandriani, Lia Saptini-
dc.contributor.authorJeong, Daeyeop-
dc.contributor.authorJang, Suhee-
dc.contributor.authorPark, Won Il-
dc.date.accessioned2026-06-22T00:30:22Z-
dc.date.available2026-06-22T00:30:22Z-
dc.date.issued2026-04-
dc.identifier.issn2637-6113-
dc.identifier.issn2637-6113-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/213825-
dc.description.abstractWe report a position-selective dual-mode photoresponse in multilayer MoS2 photodetectors and demonstrate its use for in-sensor encoding of motion history. Scanning photocurrent mapping reveals that the photothermoelectric effect dominates near contacts under weak bias, yielding fast, tail-free transients. In contrast, when the MoS2 channel is locally illuminated under finite bias, a photoconductive response prevails, exhibiting a pronounced slow tail arising from trap-mediated carrier dynamics. By exploiting this temporal contrast, the device directly generates analog trajectory signals without the need for external digital buffering. We establish a quantitative analytical framework based on a leaky-integrator model, proving that the spatial trail length serves as a deterministic measure of the device's time constant and motion speed. Furthermore, system-level validation using the Weizmann data set yielded a 92.58% classification accuracy, indicating that the proposed device-based physical preprocessing can simplify the task for a lightweight neural network while maintaining high robustness against hardware variations. These results establish a simple, photoresponse-dynamics-based strategy for hardware-intrinsic temporal encoding, suggesting a pathway toward efficient dynamic vision systems that capture temporal context directly in the analog domain.-
dc.format.extent11-
dc.language영어-
dc.language.isoENG-
dc.publisherAMER CHEMICAL SOC-
dc.titlePosition-Selective MoS2 Photoresponse Dynamics for In-Sensor Encoding of Motion History-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1021/acsaelm.6c00234-
dc.identifier.scopusid2-s2.0-105035704623-
dc.identifier.wosid001730563800001-
dc.identifier.bibliographicCitationACS APPLIED ELECTRONIC MATERIALS, v.8, no.7, pp 3207 - 3217-
dc.citation.titleACS APPLIED ELECTRONIC MATERIALS-
dc.citation.volume8-
dc.citation.number7-
dc.citation.startPage3207-
dc.citation.endPage3217-
dc.type.docTypeArticle; Early Access-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaMaterials Science-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryMaterials Science, Multidisciplinary-
dc.subject.keywordPlusTRANSITION-METAL DICHALCOGENIDES-
dc.subject.keywordPlusGRAPHENE-
dc.subject.keywordAuthortransition metal dichalcogenides-
dc.subject.keywordAuthorMoS2 photodetectors-
dc.subject.keywordAuthorphotoconductive effect-
dc.subject.keywordAuthorphotothermoelectric effect-
dc.subject.keywordAuthortime-resolved photoresponse-
dc.subject.keywordAuthorneuromorphic vision-
dc.identifier.urlhttps://pubs.acs.org/doi/10.1021/acsaelm.6c00234-
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COLLEGE OF ENGINEERING (SCHOOL OF MATERIALS SCIENCE AND ENGINEERING)
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