Vapor-Liquid equilibria modeling using gray-box neural networks as binary interaction parameters predictor
Gestores bibliográficos
Compartir
item.contributor.advisor
ORCID:
Journal Title
Journal ISSN
Volume Title
Publisher
item.page.isbn
item.page.issn
item.page.issne
item.page.doiurl
item.page.extent
item.page.accessRights
item.page.other
item.page.references
Abstract
Simulations of vapor-liquid equilibrium (VLE) are widely used given their impact on the scale, design, and extrapolation of different operational units. However, due to a number of factors, it is almo...
Description
item.page.coverage.spatial
item.page.sponsorship
Citation
Vyhmeister, E., Rodríguez-Pino, J., Reyes-Bozo, L., Galleguillos-Pozo, R., Valdés-González, H. and Rodríguez-Maecker, R., Vapor-Liquid equilibria modeling using gray-box neural networks as binary interaction parameters predictor DYNA, 84(203), pp. 226-232, December, 2017.
Keywords
item.page.dc.rights
item.page.dc.rights.url
Estadísticas de uso
5 4 3 1 0
Agosto 2025Septiembre 2025Octubre 2025Noviembre 2025Diciembre 2025Enero 2026Febrero 2026