Application of neural network molecular modeling for correlating and predicting Henry's law constants of gases in [bmim][PF 6] at low pressures

Fluid Phase Equilibria

Volumn 332, Issue , 2012, Pages 165-172

  Safamirzaei, Mani ^a   Modarress, Hamid ^a  

^a AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

bmim PF 6 ; Gas solubility; Henry's law; Ionic liquid; Neural network

Indexed keywords

1-BUTYL-3-METHYL-IMIDAZOLIUM HEXAFLUOROPHOSPHATE; [BMIM][PF; ABSOLUTE PRESSURE; ACENTRIC FACTORS; ADJUSTABLE PARAMETERS; ENVIRONMENTAL SCIENCE; EXPERIMENTAL DATA; GAS MOLECULES; GAS SOLUBILITY; HENRY'S LAW; HENRY'S LAW CONSTANT; LOW PRESSURES; MODELING TECHNIQUE; NETWORK INPUTS; NEURAL NETWORK TECHNIQUES; PRECISE MODELING;

ARGON; CARBON DIOXIDE; CARBON MONOXIDE; ETHANE; GASES; IONIC LIQUIDS; METHANE; NEURAL NETWORKS; SOLUBILITY;

NITROGEN;

EID: 84864522279     PISSN: 03783812     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fluid.2012.07.009     Document Type: Article

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