Engineers use graph networks to accurately predict properties of molecules and crystals
University of California San DiegoNanoengineers at UC San Diego have developed new deep learning models that can accurately predict the properties of molecules and crystals. They can enable researchers to rapidly scan the nearly-infinite universe of compounds to discover potentially transformative materials for various applications.