Predicting the Lifetime of Superlubricity

TL;DR

This paper investigates the energy dissipation mechanisms in superlubricity, proposing a momentum autocorrelation indicator to predict its breakdown and extend its lifetime through feedback control in nanodevices.

Contribution

It introduces a novel indicator based on momentum autocorrelation to predict superlubricity failure and demonstrates a feedback method to prolong superlubricity in nanomechanical systems.

Findings

Momentum autocorrelation signals impending superlubricity breakdown.

Energy dissipation spikes sharply at critical autocorrelation values.

Feedback control based on the indicator can extend superlubricity lifetime.

Abstract

The concept of superlubricity has recently called upon notable interest after the demonstration of ultralow friction between atomistically smooth surfaces in layered materials. However, the energy dissipation process conditioning the sustainability of superlubric state has not yet been well understood. In this work, we address this issue by performing dynamic simulations based both on full-atom and reduced Frenkel-Kontorova models. We find that the center-of-mass momentum autocorrelation of a sliding object can be used as an indicator of the state of superlubricity. Beyond a critical value of it, the sliding motion experiences catastrophic breakdown with a dramatically high rate of energy dissipation, caused by the inter-vibrational-mode coupling. By tracking this warning signal, one can extract heat from modes other than the translation to avoid the catastrophe and extend the lifetime of superlubricity. This concept is demonstrated in double-walled carbon nanotubes based nanomechanical devices with indicator-based feedback design implemented.