School of Physics, AMBER and CRANN Institute, Trinity College, Dublin 2, Ireland.
J Phys Chem Lett. 2023 Jul 6;14(26):6086-6091. doi: 10.1021/acs.jpclett.3c01066. Epub 2023 Jun 26.
Molecular dynamics simulations, performed with chemically accurate machine-learning force fields, are used to demonstrate that layer stiffness has profound effects on the superlubricant state of two-dimensional van der Waals heterostructures. We engineer bilayers of different rigidity but identical interlayer sliding energy surface and show that a 2-fold increase in the intralayer stiffness reduces the friction by a factor of ∼6. Two sliding regimes as a function of the sliding velocity are found. At a low velocity, the heat generated by the motion is efficiently exchanged between the layers and the friction is independent of the layer order. In contrast, at a high velocity, the friction heat flux cannot be exchanged fast enough and a buildup of significant temperature gradients between the layers is observed. In this situation, the temperature profile depends on whether the slider is softer than the substrate.
采用化学精确的机器学习力场的分子动力学模拟表明,层刚度对二维范德华异质结构的超滑状态有深远影响。我们设计了不同刚度但层间滑动能量表面相同的双层结构,并表明层内刚度增加 2 倍会将摩擦力降低约 6 倍。发现滑动速度的两个滑动区域。在低速度下,运动产生的热量在层之间有效地交换,摩擦力与层序无关。相比之下,在高速下,摩擦热通量不能足够快地交换,并且观察到层之间存在显著的温度梯度积累。在这种情况下,温度分布取决于滑块是否比基底软。