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• W4382139462 abstract "Molecular dynamics simulations, performed with chemically accurate ab initio 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." @default.
• W4382139462 created "2023-06-27" @default.
• W4382139462 creator A5049903688 @default.
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• W4382139462 date "2023-06-26" @default.
• W4382139462 modified "2023-09-26" @default.
• W4382139462 title "Stiffness and Atomic-Scale Friction in Superlubricant MoS₂ Bilayers" @default.
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• W4382139462 doi "https://doi.org/10.1021/acs.jpclett.3c01066" @default.
• W4382139462 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37358918" @default.
• W4382139462 hasPublicationYear "2023" @default.
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