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arXiv 2403.12901cond-mat.mes-hall

单层石墨烯薄片的自动化桌面剥离与识别

Automated Tabletop Exfoliation and Identification of Monolayer Graphene Flakes

Elijah D. S. Courtney, Mihir Pendharkar, Nathan J. Bittner, Aaron L. Sharpe, David Goldhaber-Gordon

AI总结:

本文研制低成本桌面自动化设备eXfoliator,结合自动测绘与计算机视觉识别,稳定产出大面积高质量单层石墨烯薄片,降低手工剥离门槛并为参数优化奠定基础。

摘要:

在过去二十年中,石墨烯因其卓越的机械、光学和电子特性而得到深入研究。早期研究依靠手工“Scotch Tape”剥离法得以开展;近二十年后,该方法仍被广泛用于获得石墨烯及其他二维范德华材料的化学性质纯净薄片。遗憾的是,获得厚度均匀、面积较大且无损伤薄片的产率并不稳定。因此,剥离并定位适合制备多层范德华异质结构的薄片需要投入大量时间和精力。在此,我们介绍一种成本相对较低的桌面设备(“eXfoliator”),它能够可重复地控制关键参数,并在很大程度上实现剥离过程自动化。在一次典型剥离运行中,eXfoliator可产生3片或更多大面积(≥400 μm²)的高质量单层石墨烯薄片,使新用户产出此类薄片的速率可与经验丰富用户的手工剥离相媲美。我们使用自动测绘系统和计算机视觉算法来定位候选薄片。我们的结果为未来研究提供了起点,有助于更精确地确定哪些参数对剥离成功至关重要,并对这些参数进行优化。

英文摘要:

Over the past two decades, graphene has been intensively studied because of its remarkable mechanical, optical, and electronic properties. Initial studies were enabled by manual ``Scotch Tape'' exfoliation; nearly two decades later, this method is still widely used to obtain chemically-pristine flakes of graphene and other 2D van der Waals materials. Unfortunately, the yield of large, pristine flakes with uniform thickness is inconsistent. Thus, significant time and effort are required to exfoliate and locate flakes suitable for fabricating multilayer van der Waals heterostructures. Here, we describe a relatively affordable tabletop device (the ``eXfoliator'') that can reproducibly control key parameters and largely automate the exfoliation process. In a typical exfoliation run, the eXfoliator produces 3 or more large ($\ge400\ μ$m$^2$) high-quality graphene monolayer flakes, allowing new users to produce such flakes at a rate comparable to manual exfoliation by an experienced user. We use an automated mapping system and a computer vision algorithm to locate candidate flakes. Our results provide a starting point for future research efforts to more precisely identify which parameters matter for the success of exfoliation, and to optimize them.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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