Machine learning predicts nanoparticles' structure and dynamics

Researchers have demonstrated that new distance-based machine learning methods are capable of predicting structures and atomic dynamics of nanoparticles reliably. The new methods are significantly faster than traditional simulation methods used for nanoparticle research.