Hetero-Dimensional 2D Ti3C2Tx MXene and 1D Graphene Nanoribbon Hybrids for Machine Learning-Assisted Pressure Sensors
  • Lee, Ho Jin
  • Yang, Jun Chang
  • Choi, Jungwoo
  • Kim, Jingyu
  • Lee, Gang San
  • ... Sim, Joo Yong
  • 외 6명
Citations

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110
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115

초록

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 (similar to 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.

키워드

MXenegraphene nanoribbonhybridizationpressure sensormachine learninghealth-care monitoringELECTRODESCARBONOXIDENANOSHEET
제목
Hetero-Dimensional 2D Ti3C2Tx MXene and 1D Graphene Nanoribbon Hybrids for Machine Learning-Assisted Pressure Sensors
저자
Lee, Ho JinYang, Jun ChangChoi, JungwooKim, JingyuLee, Gang SanSasikala, Suchithra PadmajanLee, Gun-HeePark, Sang-Hee KoLee, Hyuck MoSim, Joo YongPark, SteveKim, Sang Ouk
DOI
10.1021/acsnano.1c02567
발행일
2021-06
유형
Article
저널명
ACS Nano
15
6
페이지
10347 ~ 10356