Machine-learning-accelerated multimodal characterization and multiobjective design optimization of natural porous materials
Giulia Lo Dico, Álvaro Peña Nuñez, Verónica Carcelén, Maciej Harańczyk
Abstract
Machine learning models of the morphology and surface activity of natural clays enable multiobjective design of functional materials,<italic>e.g.</italic>acid nanocatalyzers.
Topics & Concepts
Characterization (materials science)Natural (archaeology)PorosityComputer scienceNatural materialsMaterials scienceBiochemical engineeringArtificial intelligenceNanotechnologyEngineeringGeologyPolymer scienceComposite materialPaleontologyMesoporous Materials and CatalysisZeolite Catalysis and SynthesisPolyoxometalates: Synthesis and Applications