DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Ho Jin | ko |
dc.contributor.author | Yang, Jun Chang | ko |
dc.contributor.author | Choi, Jung Woo | ko |
dc.contributor.author | Kim, Jingyu | ko |
dc.contributor.author | Lee, Gang San | ko |
dc.contributor.author | Sasikala, Suchithra Padmajan | ko |
dc.contributor.author | Lee, Gun-Hee | ko |
dc.contributor.author | Park, Sang-Hee Ko | ko |
dc.contributor.author | Lee, Hyuck Mo | ko |
dc.contributor.author | Sim, Joo Yong | ko |
dc.contributor.author | Park, Steve | ko |
dc.contributor.author | Kim, Sang Ouk | ko |
dc.date.accessioned | 2021-07-20T01:50:13Z | - |
dc.date.available | 2021-07-20T01:50:13Z | - |
dc.date.created | 2021-06-08 | - |
dc.date.created | 2021-06-08 | - |
dc.date.issued | 2021-06 | - |
dc.identifier.citation | ACS NANO, v.15, no.6, pp.10347 - 10356 | - |
dc.identifier.issn | 1936-0851 | - |
dc.identifier.uri | http://hdl.handle.net/10203/286775 | - |
dc.description.abstract | Hybridization 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.language | English | - |
dc.publisher | AMER CHEMICAL SOC | - |
dc.title | Hetero-Dimensional 2D Ti3C2Tx MXene and 1D Graphene Nanoribbon Hybrids for Machine Learning-Assisted Pressure Sensors | - |
dc.type | Article | - |
dc.identifier.wosid | 000665748900100 | - |
dc.identifier.scopusid | 2-s2.0-85108264686 | - |
dc.type.rims | ART | - |
dc.citation.volume | 15 | - |
dc.citation.issue | 6 | - |
dc.citation.beginningpage | 10347 | - |
dc.citation.endingpage | 10356 | - |
dc.citation.publicationname | ACS NANO | - |
dc.identifier.doi | 10.1021/acsnano.1c02567 | - |
dc.contributor.localauthor | Park, Sang-Hee Ko | - |
dc.contributor.localauthor | Lee, Hyuck Mo | - |
dc.contributor.localauthor | Park, Steve | - |
dc.contributor.localauthor | Kim, Sang Ouk | - |
dc.contributor.nonIdAuthor | Lee, Ho Jin | - |
dc.contributor.nonIdAuthor | Kim, Jingyu | - |
dc.contributor.nonIdAuthor | Sim, Joo Yong | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | MXene | - |
dc.subject.keywordAuthor | graphene nanoribbon | - |
dc.subject.keywordAuthor | hybridization | - |
dc.subject.keywordAuthor | pressure sensor | - |
dc.subject.keywordAuthor | machine learning | - |
dc.subject.keywordAuthor | health-care monitoring | - |
dc.subject.keywordPlus | ELECTRODES | - |
dc.subject.keywordPlus | CARBON | - |
dc.subject.keywordPlus | OXIDE | - |
dc.subject.keywordPlus | NANOSHEET | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.