We present an artificial intelligence (AI) method for automatically computing
the melting point based on coexistence simulations in the NPT ensemble. Given
the interatomic interaction model, the method makes decisions regarding the
number of atoms and temperature at which to conduct simulations, and based on
the collected data predicts the melting point along with the uncertainty, which
can be systematically improved with more data. We demonstrate how incorporating
physical models of the solid-liquid coexistence evolution enhances the AI
method's accuracy and enables optimal decision-making to effectively reduce
predictive uncertainty. To validate our approach, we compare our results with
approximately 20 melting point calculations from the literature. Remarkably, we
observe significant deviations in about one-third of the cases, underscoring
the need for accurate and reliable AI-based algorithms for materials property
calculations.Comment: 9 figure