Scientists build highly accurate molecular water model using machine learning

While water is perceived to be one of the simplest substances in the world, modeling its behavior on the atomic or molecular level has frustrated scientists for decades. To date, no single model has been able to accurately represent the plethora of water’s singular characteristics, including the fact that it is densest at a temperature slightly higher than its melting point.