IonML: A physically inspired machine learning platform to directed design superionic conductors
Zhilong Wang, Jing Gao, Kehao Tao, Yanqiang Han, An Chen, Jinjin Li
Topics & Concepts
Chemical spaceElectrical conductorSpace (punctuation)Computer scienceComponent (thermodynamics)Material DesignArtificial intelligenceMachine learningMaterials scienceChemistryPhysicsThermodynamicsDrug discoveryBiochemistryOperating systemWorld Wide WebComposite materialMachine Learning in Materials ScienceAdvanced Battery Materials and TechnologiesAdvancements in Battery Materials