Physical Sciences → Materials Science → Materials Chemistry

Machine Learning in Materials Science

This cluster of papers focuses on the application of materials informatics, machine learning, and high-throughput computational techniques to accelerate materials innovation. It encompasses topics such as property predictions, crystal structures, molecular dynamics, and data mining in the context of materials science and engineering.

140.1K works worldwide1M citations

Materials InformaticsMachine LearningHigh-ThroughputComputational ChemistryMaterials DiscoveryQuantum MechanicsCrystal StructuresMolecular DynamicsProperty PredictionsData Mining