Machine Learning Helps Create Detailed, Efficient Models of Water

How water acts affects everything from storm clouds to ice sheets. Computer scientists want to model water's various properties. Accurate and computationally efficient molecular-level descriptions of large samples of ice-water systems are difficult to build. The numerous molecules and various timescales remain a challenge despite advances in computing hardware. Now, a team developed machine-learning–based water models that correctly predict water's key features, such as the melting point of ice.