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Natural Rubber Blend Optimization via Data-Driven Modeling: The Implementation for Reverse Engineering
ArticleAbstract: Natural rubber formulation methodologies implemented within industry primarily implicate a high depePalabras claves:formulation, Machine learning, Modeling, Natural rubber, Optimization, Response Surface Methodology, Reverse Engineering, ViscoelasticityAutores:González L.D., Osswald T.A., Qin S., Rodríguez J.C., Román A.J., Víctor M. ZavalaFuentes:scopusNeural network feature and architecture optimization for injection molding surface defect pbkp_rediction of model polypropylene
ArticleAbstract: The industry is heading towards digitalization with production and quality assurance of processes anPalabras claves:classification, injection molding, MORPHOLOGY, rheology, viscoelastic propertiesAutores:Osswald T.A., Qin S., Román A.J., Víctor M. ZavalaFuentes:scopusPbkp_redicting Critical Micelle Concentrations for Surfactants Using Graph Convolutional Neural Networks
ArticleAbstract: Surfactants are amphiphilic molecules that are widely used in consumer products, industrial processePalabras claves:Autores:Jin T., Qin S., Van Lehn R.C., Víctor M. ZavalaFuentes:scopus