Thermal conductivity of graphene polymorphs and compounds: from C3N to graphdiyne lattices
S. Milad Hatam-Lee, Ali Rajabpour, Sebastian Volz

TL;DR
This study uses molecular dynamics simulations to compare the thermal conductivities of various graphene polymorphs and compounds, revealing candidates for heat dissipation and thermoelectric applications, and establishing links with mechanical properties.
Contribution
It provides the first comprehensive comparison of thermal conductivities across thirteen carbon-based 2D structures, highlighting their potential uses and correlations with mechanical properties.
Findings
C3N, C3B, and C2N have the highest thermal conductivity.
Graphdiyne lattices exhibit the lowest thermal conductivity.
Thermal conductivity correlates with density and Young's modulus.
Abstract
Tremendous experimental and theoretical attempts to find carbon based two-dimensional semiconductors have yielded a wide variety of graphene polymorphs, such as carbon-nitride, carbonboride, graphyne and graphdiyne 2D materials with highly attractive physical and chemical properties. In this study, by conducting extensive non-equilibrium molecular dynamics simulations, we have calculated and compared the thermal conductivity of thirteen prominent carbon-based structures at different lengths and two main chirality directions. Acquired results show that the structures of C3N, C3B and C2N exhibit the highest thermal conductivity, respectively, which suggest them as suitable candidates for thermal management systems in order to enhance the heat dissipation rates. In contrast, generally graphdiyne lattices and in particular 18-6-Gdy graphdiyne yields the lowest thermal conductivity, which…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
