Bimodal grain-size scaling of thermal transport in polycrystalline graphene from large-scale molecular dynamics simulations
arXiv:1709.09498 · doi:10.1021/acs.nanolett.7b01742
Abstract
Grain boundaries in graphene are inherent in wafer-scale samples prepared by chemical vapor deposition. They can strongly influence the mechanical properties and electronic and heat transport in graphene. In this work, we employ extensive molecular dynamics simulations to study thermal transport in large suspended polycrystalline graphene samples. Samples of different controlled grain sizes are prepared by a recently developed efficient multiscale approach based on the phase field crystal model. In contrast to previous works, our results show that the scaling of the thermal conductivity with the grain size implies bimodal behaviour with two effective Kapitza lengths. The scaling is dominated by the out-of-plane (flexural) phonons with a Kapitza length that is an order of magnitude larger than that of the in-plane phonons. We also show that in order to get quantitative agreement with the most recent experiments, quantum corrections need to be applied to both the Kapitza conductance of grain boundaries and the thermal conductivity of pristine graphene and the corresponding Kapitza lengths must be renormalized accordingly.
arXiv commentAccepted to Nano Lett.; Numerical samples and computer codes available
References in corpus (22)
- Thermal properties of graphene: Fundamentals and applications
- Optimized Tersoff and Brenner empirical potential parameters for lattice dynamics and phonon thermal transport in carbon nanotubes and graphene
- Modeling Elasticity in Crystal Growth
- Modeling Elastic and Plastic Deformations in Non-Equilibrium Processing Using Phase Field Crystals
- Polycrystalline graphene and other two-dimensional materials
- Role of anharmonic phonon scattering in the spectrally decomposed thermal conductance at planar interfaces
- Force and heat current formulas for many-body potentials in molecular dynamics simulation with applications to thermal conductivity calculations
- Efficient molecular dynamics simulations with many-body potentials on graphics processing units
- Charge Transport in Polycrystalline Graphene: Challenges and Opportunities
- Thermal conductivity decomposition in two-dimensional materials: Application to graphene
- Renormalization group approach to multiscale simulation of polycrystalline materials using the phase field crystal model
- Effect of Grain Boundaries on Thermal Transport in Graphene
- Scaling Properties of Polycrystalline Graphene: A Review
- Exploring the complex world of two-dimensional ordering with three modes
- Multiscale modeling of polycrystalline graphene: A comparison of structure and defect energies of realistic samples from phase field crystal models
- Quantitatively Analyzing Phonon Spectral Contribution of Thermal Conductivity Based on Non-Equilibrium Molecular Dynamics Simulation II: From Time Fourier Transform
- Accelerated molecular dynamics force evaluation on graphics processing units for thermal conductivity calculations
- A New Structural Phase Field Crystal Approach for Modelling Graphene
- Grain growth beyond the Mullins model, capturing the complex physics behind universal grain size distributions
- Thermal transport in nanocrystalline graphene investigated by approach-to-equilibrium molecular dynamics simulations
- Characterizing thermal conduction in polycrystalline graphene
- Scattering of flexural acoustic phonons at grain boundaries in graphene
Cited by in corpus (17)
- Neuroevolution machine learning potentials: Combining high accuracy and low cost in atomistic simulations and application to heat transport
- GPUMD: A package for constructing accurate machine-learned potentials and performing highly efficient atomistic simulations
- Homogeneous nonequilibrium molecular dynamics method for heat transport and spectral decomposition with many-body potentials
- Equivalence of the equilibrium and the nonequilibrium molecular dynamics methods for thermal conductivity calculations: From bulk to nanowire silicon
- Quantum-corrected thickness-dependent thermal conductivity in amorphous silicon predicted by machine-learning molecular dynamics simulations
- Kapitza thermal resistance across individual grain boundaries in graphene
- Non-Fourier heat transport in nanosystems
- Deriving phase field crystal theory from dynamical density functional theory: consequences of the approximations
- Heat transport in pristine and polycrystalline single-layer hexagonal boron nitride
- Thermal Transport Across Graphene Step Junctions
- Mesoscale Defect Motion in Binary Systems: Effects of Compositional Strain and Cottrell Atmospheres
- Heat transport across graphene/hexagonal-BN tilted grain boundaries from phase-field crystal model and molecular dynamics simulations
- Phase field crystal model for heterostructures
- Thermal Transport in Amorphous Graphene with Varying Structural Quality
- Grain extraction and microstructural analysis method for two-dimensional poly and quasicrystalline solids
- Thermal conductivities of monolayer graphene oxide from machine learning molecular dynamics simulations
- Length and torsion dependence of thermal conductivity in twisted graphene nanoribbons