Thermal properties of hexagonal diamond: Machine learning potential and molecular dynamics study
Jian Zhang, Zhuo Zhao, Miao Jiang, Yuan Cheng, and Gang Zhang
Phys. Rev. Materials 9, 094603 (2025) - Published 29 September, 2025
Recently, well-crystallized and nearly phase-pure Lonsdaleite (hexagonal diamond) has been successfully synthesized by heating graphite under extreme pressure conditions. Despite ongoing investigations into its physical properties, there remains a lack of high-precision interatomic potentials capable of accurately capturing its thermal transport behavior. In this work, we constructed a high performance Neuroevolution potential (NEP) model for hexagonal diamond, trained on a data-set generated via ab initio molecular dynamics (AIMD) simulations. The accuracy of the NEP model was assessed by comparing phonon dispersion curves derived from the NEP and density functional theory (DFT) calculations, revealing excellent agreement. The vibration modes and phonon irreducible representation of hexagonal diamond at the Γ point were further analyzed. The Raman active modes include , and , and the infrared active modes include and . Subsequently, the lattice thermal conductivity of hexagonal diamond was calculated, with a particular focus on the modal contributions. A comprehensive analysis of temperature-dependent thermal conductivity in the range of 300–3000 K shows that the thermal conductivity decreases with increasing temperature. This trend is primarily attributed to increased phonon-phonon anharmonic scattering at elevated temperatures. Moreover, comparative analysis indicated that the thermal conductivity of hexagonal diamond is lower than that of diamond, which can be ascribed to enhanced acoustic-optical phonon scattering in the hexagonal lattice. These findings provide in-depth theoretical insights into the phonon transport characteristics of hexagonal diamond.


