论文标题
两层石墨烯中的可调宏观结构级别通过应变工程
Tunable macroscale structural superlubricity in two-layer graphene via strain engineering
论文作者
论文摘要
在宏观尺寸的石墨样品中实现结构上级润滑性,由于在滑动相应堆叠域的大型接触区域方面遇到的困难尤其具有挑战性。在这里,我们显示了由机械剥落和CVD产生的两个随机堆叠的石墨烯层之间存在宏观结构级别的。通过测量应变下拉曼峰的变化,我们估计在环境条件下,在超润滑度方案(MM尺度)中摩擦层间剪切应力(ILSS)的值。被认为是由拉伸应变差异引起的两个石墨烯层之间的晶格常数的随机不相差的堆叠,并且在宏观上诱导的两个石墨烯层之间的不匹配。此外,分子动力学模拟表明,粘性滑移行为对于ILSS大大降低的精神剪切方向不一致,从而支持了实验观察。我们的结果为克服石墨烯中实现宏观上润滑性的几个局限性铺平了道路。
Achieving structural superlubricity in graphitic samples of macro-scale size is particularly challenging due to difficulties in sliding large contact areas of commensurate stacking domains. Here, we show the presence of macro-scale structural superlubricity between two randomly stacked graphene layers produced by both mechanical exfoliation and CVD. By measuring the shifts of Raman peaks under strain we estimate the values of frictional interlayer shear stress (ILSS) in the superlubricity regime (mm scale) under ambient conditions. The random incommensurate stacking, the presence of wrinkles and the mismatch in the lattice constant between two graphene layers induced by the tensile strain differential are considered responsible for the facile shearing at the macroscale. Furthermore, molecular dynamic simulations show that the stick-slip behaviour does not hold for achiral shearing directions for which the ILSS decreases substantially, supporting the experimental observations. Our results pave the way for overcoming several limitations in achieving macroscale superlubricity in graphene.