Litcius/Paper detail

Materials processing model-driven discovery framework for porous materials using machine learning and genetic algorithm: A focus on optimization of permeability and filtration efficiency

Tomoki Yasuda, Shinichi Ookawara, Shiro Yoshikawa, Hideyuki Matsumoto

2022Chemical Engineering Journal45 citationsDOI

Topics & Concepts

Filtration (mathematics)Permeability (electromagnetism)PorosityPorous mediumComputational fluid dynamicsOptimal designComputer scienceSurrogate modelProcess (computing)Process designGenetic algorithmMathematical optimizationProcess engineeringAlgorithmMaterials scienceEngineeringMachine learningMathematicsMembraneComposite materialChemistryOperating systemStatisticsBiochemistryAerospace engineeringProcess integrationInjection Molding Process and PropertiesEnhanced Oil Recovery TechniquesAdditive Manufacturing and 3D Printing Technologies
Materials processing model-driven discovery framework for porous materials using machine learning and genetic algorithm: A focus on optimization of permeability and filtration efficiency | Litcius