Intrinsic Negative Poisson's Ratio for Single-Layer Graphene

Abstract

Negative Poisson's ratio (NPR) materials have drawn significant interest because the enhanced toughness, shear resistance and vibration absorption that typically are seen in auxetic materials may enable a range of novel applications. In this work, we report that single-layer graphene exhibits an intrinsic NPR, which is robust and independent of its size and temperature. The NPR arises due to the interplay between two intrinsic deformation pathways (one with positive Poisson's ratio, the other with NPR), which correspond to the bond stretching and angle bending interactions in graphene. We propose an energy-based deformation pathway criteria, which predicts that the pathway with NPR has lower energy and thus becomes the dominant deformation mode when graphene is stretched by a strain above 6%, resulting in the NPR phenomenon.

Nano Letters, published

References in corpus (4)

• Ripple Texturing of Suspended Graphene Atomic Membranes
• Finite temperature lattice properties of graphene beyond the quasiharmonic approximation
• Negative Poisson's ratios in few-layer orthorhombic arsenic from first-principles calculations
• Raman and Infra-red properties and layer dependence of the phonon dispersions in multi-layered graphene

Cited by in corpus (16)

• Auxetic Black Phosphorus: A 2D Material with Negative Poisson's Ratio
• Novel Two-Dimensional Silicon Dioxide with in-plane Negative Poisson's Ratio
• Negative Poisson's Ratio in 1T-Type Crystalline Two-Dimensional Transition Metal Dichalcogenides
• Auxetic Nanomaterials: Recent Progress and Future Development
• Parameterization of Stillinger-Weber Potential for Two-Dimensional Atomic Crystals
• Hidden area and mechanical nonlinearities in freestanding graphene
• Stress-controlled Poisson ratio of a crystalline membrane: Application to graphene
• Mechanical properties of graphene oxide: the impact of functional groups
• A data-driven peridynamic continuum model for upscaling molecular dynamics
• Negative Poisson's ratio in graphene-based carbon foams
• Stress-sign-tunable Poisson's Ratio in Monolayer Blue Phosphorus Oxide
• Ab initio study of anisotropic mechanical and electronic properties of strained carbon-nitride nanosheet with interlayer bonding
• Lithium and Vanadium Intercalation into Bilayer V2Se2O: Ferrimagnetic-Ferroelastic Multiferroics and Anomalous and Spin Transport
• Accessing negative Poisson`s ratio of graphene by machine learning interatomic potentials
• Anisotropic and isotropic elasticity and thermal transport in monolayer C${}_{24}$ networks from machine-learning molecular dynamics
• Stretch-induced tunability of electrical transport properties of three-dimensional graphene-based foam structures