Machine-learning molecular dynamics of GaN: micro-displacement effects in radiation damage

Key Points

• Micro-displacement effects significantly contribute to radiation damage in gallium nitride materials.
• Machine learning analysis shows key mechanisms of damage accumulation and recovery during exposure.
• Utilizing molecular dynamics simulations provided insight into the dynamic behavior of atomic displacements.
• Findings support developing more resilient materials for use in radiation-prone environments.