Strategic sampling with stochastic surface walking for machine learning force fields in iron's bcc–hcp phase transitions

A machine learning force field for predicting the bcc–hcp phase transitions of iron, demonstrates good performance with DFT calculations, offering new insights and approaches for materials science and solid-state physics research.