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Photon-triggered self-powered all electronics with graphene-silicon hybrid device
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dc.contributor.authorKumar, Mohit-
dc.contributor.authorLim, Jaeseong-
dc.contributor.authorKang, Hyunwoo-
dc.contributor.authorKim, Sangwan-
dc.contributor.authorSeo, Hyungtak-
dc.date.issued2021-04-01-
dc.identifier.issn2211-2855-
dc.identifier.urihttps://aurora.ajou.ac.kr/handle/2018.oak/31730-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85098139496&origin=inward-
dc.description.abstractBreaking the electron-hole occupancy symmetry in graphene is a powerful approach for engineering novel optoelectronic phenomena. Traditionally, this has been achieved by electrostatic gating. However, the realization of such phenomena by using photons, without any external power supply, has remained a challenge. In this study, we developed photon-triggered, self-biased, graphene-based diverse electronic circuits, including lateral p–n and n–p homojunctions, switches, transistors, and logic gates (NOT, OR, and AND), which were further supported by local probe measurements. Moreover, the proposed device operates in a wide spectral range (from ultraviolet-visible-near-infrared range) under the self-biased condition (0 V) with fast temporal processing (~12 μs) even at the nanoscale (<50 nm). As immediate applications, we demonstrated high-speed (~72 km/h), event-based neuromorphic sensing. This work offers unprecedented opportunities on a single platform in the fields of digital/analog electronics and optoelectronics with nanoscale control and provides a neuromorphic solution to the issues encountered in conventional digital cameras.-
dc.description.sponsorshipThis study was supported through the National Research Foundation of Korea (NRF- 2018R1D1A1B07049871 , NRF- 2019R1A2C2003804 , NRF- 2019M3F3A1A03079739 ) of the Ministry of Science and ICT, Republic of Korea. This work was also supported by Ajou University.-
dc.language.isoeng-
dc.publisherElsevier Ltd-
dc.subject.meshExternal power supplies-
dc.subject.meshHomo-junctions-
dc.subject.meshHybrid devices-
dc.subject.meshNanoscale control-
dc.subject.meshSingle platform-
dc.subject.meshTemporal processing-
dc.subject.meshVisible near-infrared-
dc.subject.meshWide spectral range-
dc.titlePhoton-triggered self-powered all electronics with graphene-silicon hybrid device-
dc.typeArticle-
dc.citation.titleNano Energy-
dc.citation.volume82-
dc.identifier.bibliographicCitationNano Energy, Vol.82-
dc.identifier.doi10.1016/j.nanoen.2020.105668-
dc.identifier.scopusid2-s2.0-85098139496-
dc.identifier.urlhttp://www.journals.elsevier.com/nano-energy/-
dc.subject.keywordLogic gates-
dc.subject.keywordNeuromorphic-
dc.subject.keywordPhoton-triggered-
dc.subject.keywordSelf-powered-
dc.subject.keywordSwitches-
dc.subject.keywordTransistors-
dc.type.otherArticle-
dc.description.isoafalse-
dc.subject.subareaRenewable Energy, Sustainability and the Environment-
dc.subject.subareaMaterials Science (all)-
dc.subject.subareaElectrical and Electronic Engineering-
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KUMARMOHITKumar, Mohit
Department of Materials Science Engineering
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