Vaezi Mehran, Nejat Pishkenari Hossein
Center for Nanoscience and Nanotechnology, Institute for Convergence Science & Technology , Sharif University of Technology, Tehran, Iran.
Nano Robotics Laboratory, Mechanical Engineering Department, Sharif University of Technology, Tehran, Iran.
Sci Rep. 2023 Nov 27;13(1):20816. doi: 10.1038/s41598-023-48214-1.
The surface rolling molecular machines are proposed to perform tasks and carrying molecular payloads on the substrates. As a result, controlling the surface motion of these molecular machines is of interest for the design of nano-transportation systems. In this study, we evaluate the motion of the nanocar on the graphene nanoribbons with strain gradient, through the molecular dynamics (MD) simulations, and theoretical relations. The nanocar indicates directed motion from the maximum strained part of the graphene to the unstrained end of the substrate. The strain gradient induced driving force and diffusion coefficients of nanocars are analyzed from the simulation and theoretical points of view. To obtain the optimum directed motion of nanocar, we consider the effects of temperature, strain average, and magnitude of strain gradient on the directionality of the motion. Moreover, the mechanism of the motion of nanocar is studied by evaluating the direction of the nanocar's chassis and the rotation of wheels around the axles. Ultimately, the programmable motion of nanocar is shown by adjusting the strain gradient of graphene substrate.
表面滚动分子机器被提议用于在基底上执行任务并携带分子载荷。因此,控制这些分子机器的表面运动对于纳米运输系统的设计具有重要意义。在本研究中,我们通过分子动力学(MD)模拟和理论关系,评估了纳米车在具有应变梯度的石墨烯纳米带上的运动。纳米车表现出从石墨烯的最大应变部分向基底的无应变端的定向运动。从模拟和理论角度分析了应变梯度诱导的纳米车驱动力和扩散系数。为了获得纳米车的最佳定向运动,我们考虑了温度、平均应变和应变梯度大小对运动方向性的影响。此外,通过评估纳米车底盘的方向和车轮绕轴的旋转来研究纳米车的运动机制。最终,通过调整石墨烯基底的应变梯度展示了纳米车的可编程运动。