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Entropic Effects of Thermal Rippling on van der Waals Interactions between Monolayer Graphene and a Rigid Substrate

机译:热波纹对范德华相互作用的熵效应   单层石墨烯和刚性基板之间

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摘要

Graphene monolayer, with extremely low flexural stiffness, displaysspontaneous rippling due to thermal fluctuations at a finite temperature. Whena graphene membrane is placed on a solid substrate, the adhesive interactionsbetween graphene and the substrate could considerably suppress thermalrippling. On the other hand, the statistical nature of thermal rippling adds anentropic contribution to the graphene-substrate interactions. In this paper wepresent a statistical mechanics analysis on thermal rippling of monolayergraphene supported on a rigid substrate, assuming a generic form of van derWaals interactions between graphene and substrate at T = 0 K. The ripplingamplitude, the equilibrium average separation, and the average interactionenergy are predicted simultaneously and compared with molecular dynamics (MD)simulations. While the amplitude of thermal rippling is reduced by adhesiveinteractions, the entropic contribution leads to an effective repulsion. As aresult, the equilibrium average separation increases and the effective adhesionenergy decreases with increasing temperature. Moreover, the effect of a biaxialpre-strain in graphene is considered, and a buckling instability is predictedat a critical compressive strain that depends on both the temperature and theadhesive interactions. Limited by the harmonic approximations, the theoreticalpredictions agree with MD simulations only for relatively small ripplingamplitudes but can be extended to account for the anharmonic effects.
机译:石墨烯单层具有极低的抗弯刚度,由于在有限温度下的热波动而显示出自发波纹。当将石墨烯膜放置在固体基底上时,石墨烯与基底之间的粘合剂相互作用可显着抑制热波纹。另一方面,热波纹的统计性质增加了石墨烯-基底相互作用的熵贡献。在本文中,我们假设在T = 0 K时石墨烯与基材之间存在范德华相互作用的一般形式,对刚性基材上支撑的单层石墨烯的热波纹进行了统计力学分析。波纹幅度,平衡平均分离度和平均相互作用能为同时进行预测并与分子动力学(MD)模拟进行比较。尽管通过粘合剂相互作用降低了热波纹的幅度,但熵的贡献导致了有效的排斥。结果,随着温度的升高,平衡平均间距增大,有效粘合力减小。此外,考虑了石墨烯中的双轴预应变的影响,并在取决于温度和粘合剂相互作用的临界压缩应变下预测了屈曲不稳定性。受谐波近似的限制,理论预测仅与相对较小的波纹幅度的MD模拟一致,但可以扩展为考虑非谐效应。

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