Prediction of water stability of metal–organic frameworks using machine learning

A machine learning-based model is built to accurately and instantly classify MOFs as stable or unstable depending on the target application, or the amount of water exposed, and is used to screen water-stable MOFs and identify chemical features supporting their stability.