in this work, several machine learning techniques are presented for nanofiltration modeling. according to the results, specific errors are defined. the rejection due to nanofiltration increases with pressure but decreases with increasing the concentration of chloride ion. methods of machine learning represent the rejection of nanofiltration as a function of concentration, ph, pressure and also ...

abstract although many studies have been carried out about dam break, this phenomenon still is one of the most important issues in the field of hydraulic engineering due to its hazards to human societies. predicting the critical conditions including coincidence of flooding and dam break indicates more field studies requirement. in this research the mutual effects of coincidence of negative surg...

parachor based expressions (basic and mechanistic) are often used to model the experimentally observed pressure dependence of interfacial tension (ift) behaviors of complex supercritical carbon dioxide (sc-co2) and crude oil mixtures at elevated temperatures. however, such modeling requires various input data (e.g. compositions and densities of the equilibrium liquid and vapor phases, and molec...