Entropic Effects of Thermal Rippling on van der Waals Interactions between Monolayer Graphene and a Rigid Substrate
Peng Wang, Wei Gao, and Rui Huang

TL;DR
This paper develops a statistical mechanics model to analyze how thermal rippling affects van der Waals interactions between monolayer graphene and a substrate, revealing temperature-dependent adhesion and stability behaviors.
Contribution
It introduces a theoretical framework combining statistical mechanics and MD simulations to quantify thermal rippling effects on graphene-substrate interactions, including buckling instability predictions.
Findings
Thermal rippling amplitude decreases with adhesion
Entropic effects induce an effective repulsion
Temperature increases average separation and reduces adhesion energy
Abstract
Graphene monolayer, with extremely low flexural stiffness, displays spontaneous rippling due to thermal fluctuations at a finite temperature. When a graphene membrane is placed on a solid substrate, the adhesive interactions between graphene and the substrate could considerably suppress thermal rippling. On the other hand, the statistical nature of thermal rippling adds an entropic contribution to the graphene-substrate interactions. In this paper we present a statistical mechanics analysis on thermal rippling of monolayer graphene supported on a rigid substrate, assuming a generic form of van der Waals interactions between graphene and substrate at T = 0 K. The rippling amplitude, the equilibrium average separation, and the average interaction energy are predicted simultaneously and compared with molecular dynamics (MD) simulations. While the amplitude of thermal rippling is reduced by…
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