High-yield large-scale suspended graphene membranes over closed cavities for sensor applications

Sebastian Lukas, Ardeshir Esteki, Nico Rademacher, Vikas Jangra, Michael Gross, Zhenxing Wang, Ha Duong Ngo, Manuel Bäuscher, Piotr Mackowiak, Katrin Höppner, Dominique Wehenkel, Richard van Rijn, Max C. Lemme
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Abstract

Suspended membranes of monoatomic graphene exhibit great potential for applications in electronic and nanoelectromechanical devices. In this work, a "hot and dry" transfer process is demonstrated to address the fabrication and patterning challenges of large-area graphene membranes on top of closed, sealed cavities. Here, "hot" refers to the use of high temperature during transfer, promoting the adhesion. Additionally, "dry" refers to the absence of liquids when graphene and target substrate are brought into contact. The method leads to higher yields of intact suspended monolayer CVD graphene and artificially stacked double-layer CVD graphene membranes than previously reported. The yield evaluation is performed using neural-network-based object detection in SEM images, ascertaining high yields of intact membranes with large statistical accuracy. The suspended membranes are examined by Raman tomography and AFM. The method is verified by applying the suspended graphene devices as piezoresistive pressure sensors. Our technology advances the application of suspended graphene membranes and can be extended to other two-dimensional (2D) materials.
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用于传感器应用的封闭空腔上的高产大规模悬浮石墨烯膜
单原子石墨烯悬浮膜在电子和纳米机电设备中具有巨大的应用潜力。在这项工作中,演示了一种 "干热 "转移工艺,以解决在封闭的密封腔体顶部制造和图案化大面积石墨烯膜的难题。这里的 "热 "是指在转移过程中使用高温,以促进附着力。此外,"干 "是指石墨烯和目标基底接触时没有液体。与之前的报道相比,该方法可获得更高产率的完整悬浮单层 CVD 石墨烯和人工堆叠双层 CVD 石墨烯膜。产量评估是通过基于神经网络的扫描电镜图像中的物体检测来进行的,以较高的统计精度确定了完整膜的高产量。悬浮膜通过拉曼断层扫描和原子力显微镜进行检测。将悬浮石墨烯器件用作压阻压力传感器验证了该方法。我们的技术推进了悬浮石墨烯膜的应用,并可扩展到其他二维(2D)材料。
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