Jha, Sujit Kumar and Madras, Giridhar (2005) Neural Network Modeling of Adsorption Equilibria of Mixtures in Supercritical Fluids. In: Industrial and Engineering Chemistry Research, 44 (17). pp. 7038-7041.Full text not available from this repository. (Request a copy)
A neural network model was used to predict the ternary adsorption equilibria of 2,6- and 2,7-dimethylnaphthalene isomers dissolved in supercritical carbon dioxide on NaY-type zeolite. The neural network was trained using binary (pure solute dissolved in supercritical carbon dioxide onto NaY-type zeolite) and ternary adsorption equilibrium data. Despite a limited number of data points available for the training of the network, the model was capable of predicting the ternary adsorption equilibria using the binary adsorption equilibrium data very precisely.
|Item Type:||Journal Article|
|Additional Information:||The copyright for this article belongs to American Chemical Society.|
|Department/Centre:||Division of Mechanical Sciences > Chemical Engineering|
|Date Deposited:||21 Sep 2005|
|Last Modified:||27 Aug 2008 11:28|
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