2021-02-07
Researchers at the University of Jyväskylä have recently shown that new distance-based machine learning methods can precisely predict the structures and atomic dynamics of nanoparticles in a faster manner compared to traditional simulation methods, and also facilitates Monte Carlo simulations of the atom dynamics of the particles at elevated temperatures.