Ying Penghua, Gao Xiang, Natan Amir, Urbakh Michael, Hod Oded
Department of Physical Chemistry, School of Chemistry, The Raymond and Beverly Sackler Faculty of Exact Sciences and The Sackler Center for Computational Molecular and Materials Science, Tel Aviv University, Tel Aviv 6997801, Israel.
Department of Physical Electronics, Tel Aviv University, Tel Aviv 6997801, Israel.
J Phys Chem Lett. 2025 Mar 20;16(11):2934-2941. doi: 10.1021/acs.jpclett.5c00193. Epub 2025 Mar 13.
The mechanisms underlying chemifriction (the contribution of interfacial bonding to friction) in defected twisted graphene interfaces are revealed using fully atomistic molecular dynamics simulations based on machine-learning potentials. This involves stochastic events of consecutive bond formation and rupture between single vacancy defects that may enhance friction. A unique shear-induced interlayer atomic transfer healing mechanism is discovered that can be harnessed to design a run-in procedure to restore superlubric sliding. This mechanism should be manifested as negative differential friction coefficients that are expected to emerge under moderate normal loads. A physically motivated phenomenological model is developed to predict the chemifriction effects in experimentally relevant sliding velocity regimes. This allows us to identify a distinct transition between logarithmic increase and logarithmic decrease of the friction force with increasing sliding velocity. While demonstrated for homogeneous graphitic contacts, a similar mechanism is expected to occur in other homogeneous or heterogeneous defected two-dimensional material interfaces.
基于机器学习势的全原子分子动力学模拟揭示了缺陷扭曲石墨烯界面中化学摩擦(界面键合对摩擦的贡献)的潜在机制。这涉及单个空位缺陷之间连续键形成和断裂的随机事件,这些事件可能会增加摩擦力。发现了一种独特的剪切诱导层间原子转移愈合机制,可用于设计磨合程序以恢复超润滑滑动。这种机制应表现为负微分摩擦系数,预计在中等法向载荷下出现。建立了一个基于物理的唯象模型,以预测在实验相关滑动速度范围内的化学摩擦效应。这使我们能够确定摩擦力随滑动速度增加时对数增加和对数减少之间的明显转变。虽然是针对均匀石墨接触进行的演示,但预计在其他均匀或异质缺陷二维材料界面中也会发生类似机制。