215 / 2026-04-12 14:44:54
Molecular Dynamics Study of Damage Mechanisms in Diamond under Strong Shock Based on a Machine-Learned Potential
Diamond,Shock,molecular dynamics
Abstract Accepted
Shao Jianli / Beijing Institute of Technology
Diamond is an important material for extreme-condition applications, yet its atomic-scale damage mechanisms under strong shock remain unclear. In this work, a carbon machine-learned potential for extreme conditions was developed within the neural evolution potential (NEP) framework, and large-scale molecular dynamics simulations were performed to investigate the dynamic response of single-crystal diamond under different crystallographic orientations and shock intensities. The results show pronounced crystallographic anisotropy under strong shock loading. Significant differences are observed among the [100], [110], and [111] orientations in elastic-plastic wave structures, stacking-fault evolution, and subsequent damage processes, with the [111] orientation exhibiting a more distinct two-wave structure. During shock unloading, diamond undergoes a continuous structural evolution from stacking faults or anomalous stacking to disordering, followed by graphitization and spallation. The [100] and [110] orientations tend to fracture through defect-assisted damage, whereas the [111] orientation is more prone to layered graphitization and early failure. These findings provide a reference for understanding and predicting the dynamic response of materials under extreme conditions.
Important Date
  • May 12

    2026

    Conference Date

  • Apr 15 2026

    Draft paper submission deadline

  • May 12 2026

    Registration deadline

Sponsored By
National Key Laboratory of Plasma Physics, Laser Fusion Research Center, China Academy of Engineering Physics
Xiamen University