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

通过施加适当的应变，可以控制原子无缝界面周围的梯度肖特基势垒，从而使哑铃型石墨烯纳米颗粒（DS-GNR）应变传感器具有稳定的电学性能，而与DS-GNR传感段中石墨烯纳米颗粒（GNR）的宽度无关.优化后的DS-GNR结构在较低的应变范围内，在窄段内具有稳定的压阻特性。这被认为是肖特基势垒的消失。但在低应变范围内，由于金属-陶瓷界面处存在梯度肖特基势垒，界面处出现了复杂的应变诱导变化行为。单个GNR具有很大的应变范围，这已经被一些先前的研究者所证实。研究发现，通过施加适当的拉伸应变，可以使大梯度肖特基势垒最小化，从而使具有金属-金属界面的DS-GNR在更大的应变范围内获得稳定的性能，这表明DS-GNR在开发高灵敏度、稳定性、可靠的下一代可穿戴应变传感器，用于真实的时间健康监测和智能床旁设备。DS-GNR的应变诱导的电子性质的变化可以应用于其他特定的应用，例如用于气体和病毒检测的生物化学传感器以及通过模仿人类突触信号的人工神经网络。

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.