Engineers use graph networks to accurately predict properties of molecules and crystals

News Nanoengineers at the University of California San Diego have developed new deep learning models that can accurately predict the properties of molecules and crystals. By enabling almost instantaneous property predictions... Contributed Author: University of California - San Diego Topics: Components