Distribution of ripples in graphene membrane
Jin Yu, Mikhail I. Katsnelson, Shengjun Yuan

TL;DR
This study combines molecular dynamics simulations and theoretical analysis to investigate how ripple shapes and distributions in graphene membranes influence their physical and chemical properties, revealing a relationship between ripple density and shape ratio.
Contribution
It introduces two geometric models for ripple shapes and provides a quantitative analysis of ripple distribution in graphene, linking shape ratios to ripple density.
Findings
Ripple density decreases as the t/D ratio increases.
Qualitative agreement with Boltzmann distribution based on bending energy.
Provides quantitative insights into ripple distribution in graphene.
Abstract
Intrinsic ripples with various configurations and sizes were reported to affect the physical and chemical properties of 2D materials. By performing molecular dynamics simulations and theoretical analysis, we use two geometric models of the ripple shape to explore numerically the distribution of ripples in graphene membrane. We focus on the ratio of ripple height to its diameter (t/D) which was recently shown to be the most relevant for chemical activity of graphene membranes. Our result demonstrates that the ripple density decreases as the coefficient t/D increases, in a qualitative agreement with the Boltzmann distribution derived analytically from the bending energy of the membrane. Our theoretical study provides also specific quantitative information on the ripple distribution in graphene and gives new insights applicable to other 2D materials.
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Taxonomy
TopicsGraphene research and applications · Nanopore and Nanochannel Transport Studies · Graphene and Nanomaterials Applications
