Estimation of pure component parameters of PC-SAFT EoS by an artificial neural network based on a group contribution method
Sign Up to like & getrecommendations! Published in 2021 at "Fluid Phase Equilibria"
DOI: 10.1016/j.fluid.2021.113179
Abstract: Abstract In this study, we introduced an artificial neural network (ANN), which can represent objects that are difficult to formulate, rather than the integrated model of the group contribution method (GCM), because the integrated model… read more here.
Keywords: neural network; pure component; artificial neural; component parameters ... See more keywords
Understanding pore-level phenomena of n-alkanes at high pressures
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Petroleum Science and Engineering"
DOI: 10.1016/j.petrol.2018.02.054
Abstract: Abstract Adsorption of shale related n-alkane fluids in graphite nano-channels is studied. Pure component canonical (NVT) ensemble simulations are performed over a range of isotherms and pore widths. Results for n-hexane are used to validate… read more here.
Keywords: adsorption; understanding pore; phenomena alkanes; pure component ... See more keywords