课题基金 / 基金详情

ダンベル型グラフェンナノリボンの電子物性解析に基づく高感度ひずみセンサの開発

ダンベル型グラフェンナノリボンの電子物性解析に基づく高感度ひずみセンサの開発
基于哑铃形石墨烯纳米带电子特性分析的高灵敏度应变传感器的开发
批准号:
19J12755
负责人:
張 秦強
金额:
$1.47万
依托单位:
依托单位国家:
日本
项目类别:
Grant-in-Aid for JSPS Fellows
财政年份:
2019
资助国家:
日本
项目状态:
已结题
起止时间:
2019-04-25 至 2021-03-31

项目摘要

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中文摘要
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英文摘要
The gradient Schottky barrier around the atomic seamless interface can be controlled by applying appropriate strain and the stable electronic performance of dumbbell-shape graphene nanoribbon (DS-GNR)-base strain sensors can be obtained regardless of the width of the graphene nanoribbon (GNR) in the sensing segment of DS-GNR. The optimized structure of DS-GNR with metallic-metallic interface around the jointed area exhibits stable piezoresistive property in the narrow segment at lower strain range. It is deemed to the disappearance of the Schottky barrier. However, the complicated strain-induced change behavior appeared in the metallic-semiconductive interface due to the existence of the gradient Schottky barrier around the jointed area at low strain range. The single GNR possesses a large strain range as proved by several previous researchers. In this study, the author found that the large gradient Schottky barrier can be minimized by applying an appropriate tensile strain and the stable performance of DS-GNR with metallic-semiconductive interface can be attained at a larger strain range.The analysis results in this study indicate that it has a great potential to apply DS-GNRs for development of highly sensitive, stable, and reliable next-generation wearable strain sensors for real time health monitoring and smart point of care devices. The strain-induced change of electronic properties of DS-GNR can be applied on other specific applications such as bio-chemical sensors for gas- and viruses- detecting and artificial neuro network by mimicking the human synapse signal.
期刊论文(14)
专著(0)
科研奖励(0)
会议论文
A First Principle Study on the Localized Electronic Band Structure of a Single Long Graphene Nanoribbon with Graphene Electrodes
石墨烯电极单条长石墨烯纳米带局域电子能带结构的第一性原理研究
DOI: --
发表时间: 2019
期刊:
影响因子: --
作者: [Eri Kiyoshige, Mai Kabayama, Yasushi Takeya, Yoichi Takami, Shuko Takeda, Yasuyuki Gondo, Hiromi Rakugi, Kei Kamide., Qinqiang Zhang, Qinqiang Zhang]
通讯作者: Qinqiang Zhang
Theoretical Study of Heterojunction-Like Electronic Properties Between a Semiconductive Graphene Nanoribbon and a Metallic Graphene for Highly Sensitive Strain Sensors
用于高灵敏应变传感器的半导体石墨烯纳米带和金属石墨烯之间的类异质结电子特性的理论研究
DOI: --
发表时间: 2020
期刊:
影响因子: --
作者: [Takuya Kudo , Qinqiang Zhang , Ken Suzuki , Hideo Miura, Qinqiang Zhang]
通讯作者: Qinqiang Zhang
DOI: 10.1109/sispad.2019.8870398
发表时间: 2019
期刊: 2019 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD)
影响因子: --
作者: [Xiangyu Qiao, Qinqiang Zhang, Ken Suzuki, Qinqiang Zhang ; Takuya Kudo ; Jowesh Gounder ; Ying Chen ; Ken Suzuki ; Hideo Miura]
通讯作者: Qinqiang Zhang ; Takuya Kudo ; Jowesh Gounder ; Ying Chen ; Ken Suzuki ; Hideo Miura
10.1115/IMECE2020-23782A First-principles Study on the Strain-induced Localiz10.1115/IMECE2020-23782ed Electronic Properties of Dumbbell-shape Graphene Nanoribbon for Highly Sensitive Strain Sensors
10.1115/IMECE2020-23782A 高灵敏应变传感器哑铃形石墨烯纳米带应变诱导局部化电子特性的第一性原理研究10.1115/IMECE2020-23782ed
DOI: 10.23919/sispad49475.2020.9241686
发表时间: 2020
期刊: Proceedings of 2020 International Conference on Simulation of Semiconductor Processes and Devices
影响因子: --
作者: [Qinqiang Zhang, Ken Suzuki, Hideo Miura]
通讯作者: Hideo Miura
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    海外基金