Tuning the lattice thermal conductivity in van-der-Waals structures through rotational (dis)ordering
arXiv:2304.06978 · doi:10.1021/acsnano.3c09717
Abstract
It has recently been demonstrated that MoS2 with irregular interlayer rotations can achieve an extreme anisotropy in the lattice thermal conductivity (LTC), which is for example of interest for applications in waste heat management in integrated circuits. Here, we show by atomic scale simulations based on machine-learned potentials that this principle extends to other two-dimensional materials including C and BN. In all three materials introducing rotational disorder drives the through-plane LTC to the glass limit, while the in-plane LTC remains almost unchanged compared to the ideal bulk materials. We demonstrate that the ultralow through-plane LTC is connected to the collapse of their transverse acoustic modes in the through-plane direction. Furthermore, we find that the twist angle in periodic moiré structures representing rotational order provides an efficient means for tuning the through-plane LTC that operates for all chemistries considered here. The minimal through-plane LTC is obtained for angles between 1 and 4 degree depending on the material, with the biggest effect in MoS2. The angular dependence is correlated with the degree of stacking disorder in the materials, which in turn is connected to the slip surface. This provides a simple descriptor for predicting the optimal conditions at which the LTC is expected to become minimal.
arXiv comment10 pages, 6 figures
References in corpus (31)
- Canonical sampling through velocity-rescaling
- Magic-angle graphene superlattices: a new platform for unconventional superconductivity
- Van der Waals Density Functional for General Geometries
- Correlated Insulator Behaviour at Half-Filling in Magic Angle Graphene Superlattices
- Graphene bilayer with a twist: electronic structure
- Distribution of phonon lifetime in Brillouin zone
- Optical detection of Mott and generalized Wigner crystal states in WSe2/WS2 moiré superlattices
- Pressure control using stochastic cell rescaling
- Topological insulators in twisted transition metal dichalcogenide homobilayers
- Atomic and electronic reconstruction at van der Waals interface in twisted bilayer graphene
- Imaging Electronic Correlations in Twisted Bilayer Graphene near the Magic Angle
- An exchange functional that tests the robustness of the plasmon description of the van der Waals density functional
- Tunable Moiré Bands and Strong Correlations in Small-Twist-Angle Bilayer Graphene
- The hiphive package for the extraction of high-order force constants by machine learning
- GPUMD: A package for constructing accurate machine-learned potentials and performing highly efficient atomistic simulations
- Accurate sampling using Langevin dynamics
- Twisted Bilayer Graphene: A Phonon Driven Superconductor
- Efficient molecular dynamics simulations with many-body potentials on graphics processing units
- Relaxation and Domain Formation in Incommensurate 2D Heterostructures
- DynaPhoPy: A code for extracting phonon quasiparticles from molecular dynamics simulations
- Multi-flat bands and strong correlations in Twisted Bilayer Boron Nitride
- Moiré Flat Bands in Twisted Double Bilayer Graphene
- Improving the accuracy of the neuroevolution machine learning potential for multi-component systems
- Controllable Thermal Conductivity in Twisted Homogeneous Interfaces of Graphene and Hexagonal Boron Nitride
- DYNASOR -- A tool for extracting dynamical structure factors and current correlation functions from molecular dynamics simulations
- Phonons in Twisted Transition Metal Dichalcogenide Bilayers ("Twistnonics"): Ultra-soft Phasons, and a transition from Superlubric to Pinned Phase
- Magic angle in thermal conductivity of twisted bilayer graphene
- Limits of the phonon quasi-particle picture at the cubic-to-tetragonal phase transition in halide perovskites
- Reduced Thermal Conductivity of Supported and Encased Monolayer and Bilayer MoS
- Strongly Tunable Anisotropic Thermal Transport in MoS2 by Strain and Lithium Intercalation: First--Principles Calculations
- Invariance principles in the theory and computation of transport coefficients
Cited by in corpus (9)
- Molecular dynamics simulations of heat transport using machine-learned potentials: A mini review and tutorial on GPUMD with neuroevolution potentials
- Moiré-Driven Interfacial Thermal Transport in Twisted Transition Metal Dichalcogenides
- Highly efficient path-integral molecular dynamics simulations with GPUMD using neuroevolution potentials: Case studies on thermal properties of materials
- PYSED: A tool for extracting kinetic-energy-weighted phonon dispersion and lifetime from molecular dynamics simulations
- Combining the D3 dispersion correction with the neuroevolution machine-learned potential
- Phonon heat conduction across slippery interfaces in twisted graphite
- Probing the ideal limit of interfacial thermal conductance in two-dimensional van der Waals heterostructures
- Modular hybrid machine learning and physics-based potentials for scalable modeling of van der Waals heterostructures
- Tuning Thermal Conductivity and Electron-Phonon Interactions in Carbon and Boron Nitride Moiré Diamanes via Twist Angle Manipulation