Data-driven multiscale simulation of solid-state batteries via machine learning
Armin Asheri, Mozhdeh Fathidoost, Vedran Glavaš, Shahed Rezaei, Bai‐Xiang Xu
Topics & Concepts
Microscale chemistryBattery (electricity)Computer scienceMultiscale modelingInterface (matter)Surrogate modelField (mathematics)ElectrolyteData-drivenMaterials scienceArtificial intelligenceMachine learningChemistryPhysicsPower (physics)ThermodynamicsPure mathematicsComputational chemistryMathematicsParallel computingBubbleElectrodeMaximum bubble pressure methodPhysical chemistryMathematics educationAdvancements in Battery MaterialsMachine Learning in Materials ScienceAdvanced Battery Materials and Technologies