Skip to main navigation Skip to search Skip to main content

Convergent thermal conductivity in strained monolayer graphene

  • Guotai Li
  • , Jialin Tang
  • , Jiongzhi Zheng
  • , Qi Wang
  • , Zheng Cui
  • , Ke Xu
  • , Jianbin Xu
  • , Te Huan Liu
  • , Guimei Zhu
  • , Ruiqiang Guo
  • , Baowen Li
  • Shandong University
  • Shandong Institute of Advanced Technology
  • Dartmouth College
  • Chinese University of Hong Kong
  • Huazhong University of Science and Technology
  • Southern University of Science and Technology

Research output: Contribution to journalArticlepeer-review

Abstract

The strain dependence of thermal conductivity (κ) in monolayer graphene, with reports of enhancement, suppression, or even divergence, has been highly controversial. To address this open question, we have systematically investigated the effects of tensile strain on the κ of graphene using the exact solution of the Peierls-Boltzmann transport equation based on the first-principles interatomic force constants combined with machine learning assisted molecular dynamics simulations. In contrast to previous studies, we find that the κ in the strained graphene is convergent after considering four-phonon scattering, which is dominant for the long-wavelength flexural phonons because of its much weaker frequency dependence (τ4-1∝ωβ with β < 2) compared to the three-phonon scattering case (τ3-1∝ωβ with β > 2). Furthermore, κ exhibits nonmonotonic variations with increasing strain up to 8% due to the competition between phonon lifetime, group velocity, and heat capacity of acoustic phonons. Our results deepen the fundamental understanding of thermal transport in strained graphene and offer insights for tuning the thermal properties of two-dimensional materials through strain engineering.

Original languageEnglish
Article number035420
JournalPhysical Review B
Volume109
Issue number3
DOIs
StatePublished - 15 Jan 2024
Externally publishedYes

Fingerprint

Dive into the research topics of 'Convergent thermal conductivity in strained monolayer graphene'. Together they form a unique fingerprint.

Cite this