Hetero-Dimensional 2D Ti3C2Tx MXene and 1D Graphene Nanoribbon Hybrids for Machine Learning-Assisted Pressure Sensors

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dc.contributor.authorLee, Ho Jinko
dc.contributor.authorYang, Jun Changko
dc.contributor.authorChoi, Jung Wooko
dc.contributor.authorKim, Jingyuko
dc.contributor.authorLee, Gang Sanko
dc.contributor.authorSasikala, Suchithra Padmajanko
dc.contributor.authorLee, Gun-Heeko
dc.contributor.authorPark, Sang-Hee Koko
dc.contributor.authorLee, Hyuck Moko
dc.contributor.authorSim, Joo Yongko
dc.contributor.authorPark, Steveko
dc.contributor.authorKim, Sang Oukko
dc.date.accessioned2021-07-20T01:50:13Z-
dc.date.available2021-07-20T01:50:13Z-
dc.date.created2021-06-08-
dc.date.created2021-06-08-
dc.date.issued2021-06-
dc.identifier.citationACS NANO, v.15, no.6, pp.10347 - 10356-
dc.identifier.issn1936-0851-
dc.identifier.urihttp://hdl.handle.net/10203/286775-
dc.description.abstractHybridization of low-dimensional components with diverse geometrical dimensions should offer an opportunity for the discovery of synergistic nanocomposite structures. In this regard, how to establish a reliable interfacial interaction is the key requirement for the successful integration of geometrically different components. Here, we present 1D/2D heterodimensional hybrids via dopant induced hybridization of 2D Ti3C2Tx MXene with 1D nitrogen-doped graphene nanoribbon. Edge abundant nanoribbon structures allow a high level nitrogen doping (∼6.8 at%), desirable for the strong coordination interaction with Ti3C2Tx MXene surface. For piezoresistive pressure sensor application, strong adhesion between the conductive layers and at the conductive layer/elastomer interface significantly diminishes the sensing hysteresis down to 1.33% and enhances the sensing stability up to 10 000 cycles at high pressure (100 kPa). Moreover, large-area pressure sensor array reveals a high potential for smart seat cushion-based posture monitoring application with high accuracy (>95%) by exploiting machine learning algorithm.-
dc.languageEnglish-
dc.publisherAMER CHEMICAL SOC-
dc.titleHetero-Dimensional 2D Ti3C2Tx MXene and 1D Graphene Nanoribbon Hybrids for Machine Learning-Assisted Pressure Sensors-
dc.typeArticle-
dc.identifier.wosid000665748900100-
dc.identifier.scopusid2-s2.0-85108264686-
dc.type.rimsART-
dc.citation.volume15-
dc.citation.issue6-
dc.citation.beginningpage10347-
dc.citation.endingpage10356-
dc.citation.publicationnameACS NANO-
dc.identifier.doi10.1021/acsnano.1c02567-
dc.contributor.localauthorPark, Sang-Hee Ko-
dc.contributor.localauthorLee, Hyuck Mo-
dc.contributor.localauthorPark, Steve-
dc.contributor.localauthorKim, Sang Ouk-
dc.contributor.nonIdAuthorLee, Ho Jin-
dc.contributor.nonIdAuthorKim, Jingyu-
dc.contributor.nonIdAuthorSim, Joo Yong-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorMXene-
dc.subject.keywordAuthorgraphene nanoribbon-
dc.subject.keywordAuthorhybridization-
dc.subject.keywordAuthorpressure sensor-
dc.subject.keywordAuthormachine learning-
dc.subject.keywordAuthorhealth-care monitoring-
dc.subject.keywordPlusELECTRODES-
dc.subject.keywordPlusCARBON-
dc.subject.keywordPlusOXIDE-
dc.subject.keywordPlusNANOSHEET-
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