Length and torsion dependence of thermal conductivity in twisted graphene nanoribbons
Alexandre F. Fonseca, Luiz Felipe C. Pereira

TL;DR
This study investigates how the thermal conductivity of twisted graphene nanoribbons depends on their length and torsion, revealing that multiple geometric parameters influence heat conduction and providing a more accurate modeling approach.
Contribution
It introduces a new understanding of how twist and writhe parameters affect thermal conductivity in twisted graphene nanoribbons, supported by detailed molecular dynamics simulations.
Findings
Thermal conductivity depends on initial twist and twist density.
Two or more parameters are needed to accurately describe TC.
Molecular dynamics simulations confirm the complex dependence.
Abstract
Research on the physical properties of materials at the nanoscale is crucial for the development of breakthrough nanotechnologies. One of the key properties to consider is the ability to conduct heat, i.e., its thermal conductivity. Graphene is a remarkable nanostructure with exceptional physical properties, including one of the highest thermal conductivities (TC) ever measured. Graphene nanoribbons (GNRs) share most fundamental properties with graphene, with the added benefit of having a controllable electronic bandgap. One method to achieve such control is by twisting the GNR, which can tailor its electronic properties, as well as change their TC. Here, we revisit the dependence of the TC of twisted GNRs (TGNRs) on the number of applied turns to the GNR by calculating more precise and mathematically well defined geometric parameters related to the TGNR shape, namely, its twist and…
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