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Advancing device-based computing by simplifying circuit complexity

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dc.contributor.authorPark, Taehyun-
dc.contributor.authorKim, Minseo-
dc.contributor.authorSeo, Juhyung-
dc.contributor.authorKim, Young-Joon-
dc.contributor.authorTrivedi, Amit Ranjan-
dc.contributor.authorHan, Joon-Kyu-
dc.contributor.authorYoo, Hocheon-
dc.date.accessioned2025-05-09T02:30:14Z-
dc.date.available2025-05-09T02:30:14Z-
dc.date.issued2025-04-
dc.identifier.issn2666-9986-
dc.identifier.issn2666-9986-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/207336-
dc.description.abstractWith Moore's law approaching its scaling limits, the quest for higher integration density in computing devices has become increasingly challenging. Device-based computer architecture can achieve circuit compaction by creating devices with a simpler circuit tailored for specific purposes. However, paradoxically, many of these devices require a greater number of transistors or other electronic components than conventional von Neumann systems. This review highlights recent advances in device-based computing. We seek to demonstrate how device-based computing can be used to implement von Neumann architectures more efficiently through Boolean logic and also to realize next-generation non-von Neumann systems, with a focus on improving integration density and energy efficiency.-
dc.language영어-
dc.language.isoENG-
dc.publisherCell Press-
dc.titleAdvancing device-based computing by simplifying circuit complexity-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1016/j.device.2025.100720-
dc.identifier.scopusid2-s2.0-105002573832-
dc.identifier.wosid001476318600001-
dc.identifier.bibliographicCitationDevice, v.3, no.4-
dc.citation.titleDevice-
dc.citation.volume3-
dc.citation.number4-
dc.type.docTypeReview-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.description.journalRegisteredClassesci-
dc.relation.journalResearchAreaMaterials Science-
dc.relation.journalWebOfScienceCategoryMaterials Science, Multidisciplinary-
dc.subject.keywordPlusBAYESIAN NEURAL-NETWORKS-
dc.subject.keywordPlusMOORES LAW-
dc.subject.keywordPlusMODELS-
dc.subject.keywordPlusLOGIC-
dc.subject.keywordAuthorcircuit compaction-
dc.subject.keywordAuthordevice-based computing-
dc.subject.keywordAuthorDTI-2: Explore-
dc.subject.keywordAuthorneuromorphic computing-
dc.subject.keywordAuthorstochastic computing-
dc.subject.keywordAuthortransistor counts-
dc.identifier.urlhttps://www.sciencedirect.com/science/article/abs/pii/S266699862500033X?via%3Dihub-
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