Controlling Movement at Nanoscale: Curvature Driven Mechanotaxis

TL;DR

This paper demonstrates how curvature gradients in spiral-shaped nanostructures like CNTs and GNRs can be used to controllably drive nanoscale motion without external manipulation, highlighting the role of energy gradients and layer orientation.

Contribution

It introduces a novel approach to nanomotion control using intrinsic curvature gradients in spiral nanostructures, expanding possibilities for nanoscale manipulation.

Findings

Curvature gradients can drive nanoscillators effectively.

Motion depends on layer orientation, with incommensurate layers enabling sustained movement.

Mild curvature gradients in existing nanostructures can serve as mechanical stimuli for motion.

Abstract

Locating and manipulating nano-sized objects to drive motion is a time and effort consuming task. Recent advances show that it is possible to generate motion without direct intervention, by embedding the source of motion in the system configuration. In this work, we demonstrate an alternative manner to controllably displace nano-objects without external manipulation, by employing spiral-shaped carbon nanotube (CNT) and graphene nanoribbon structures (GNR). The spiral shape contains smooth gradients of curvature, which lead to smooth gradients of bending energy. We show these gradients can drive nanoscillators. We also carry out an energy analysis by approximating the carbon nanotube to a thin rod and discuss how torsional gradients can be used to drive motion. For the nanoribbons, we also analyzed the role of layer orientation. Our results show that motion is not sustainable for commensurate orientations, in which AB stacking occurs. For incommensurate orientations, friction almost vanishes, and in this instance, the motion can continue even if the driving forces are not very high. This suggests that mild curvature gradients, which can already be found in existing nanostructures, could provide mechanical stimuli to direct motion.