Nature Machine Intelligence, Published online: 24 October 2025; doi:10.1038/s42256-025-01129-0
Molecular dynamics (MD) simulations are widely used for understanding atomic motion but require substantial computational time. In new research by Nam et al., a generative artificial intelligence framework is developed to accelerate the MD simulations for crystalline materials, by reframing the task as conditional generation of atomic displacement.