Sentence examples for predictions of adsorption from inspiring English sources

The finite kinetics (FK) model [Do, D.D., Wang, K., 1998b. Predictions of adsorption equilibria of non-polar hydrocarbons onto activated carbon. Langmuir 14, 7271 7277; Do, D.D., Wang, K., 1998a.

The physical significance of T0 and β was further established when it was found that including Φ into the GCMC calculations enabled accurate prediction of adsorption capacities measured in the transitional region.

The Langmuir isotherm and pseudo second order kinetic model showed the acceptable accuracy in prediction of adsorption data.

The results indicate that ANN has excellent potential for use in non-linear chromatography for the prediction of adsorption isotherms.

The results from this study are important because they allow a more accurate prediction of adsorption capacities of adsorbents which allow for better design of adsorption systems.

A grand canonical Monte Carlo method is used for the prediction of adsorption isotherms of methanol on an activated carbon at the molecular level.

In the column adsorption process, a theoretical model was adopted for representing the hydrazoic acid change in the aqueous solution exiting the column and the verified theoretical model significantly facilitates prediction of adsorption breakthroughs and column design.

The prediction of adsorption and diffusion in clay-rich media, however, is complicated by the similarity between the width of clay nanopores and the thickness of the electrical double layer (EDL) at charged clay mineral water interfaces.

The ANN based on the Levenberg Marquardt algorithm (LMA) combined of linear transfer function at output layer and tangent sigmoid transfer function at hidden layer with 20 hidden neurons supply best operation conditions for good prediction of adsorption data.

This paper develops a simplified form of the group-contribution theory of Russell and LeVan (Chem. Eng. Sci. 51 (1996 40255) for the prediction of adsorption equilibria of n-alkanes on activated carbon.

The kinetic parameter study, which is helpful for the prediction of adsorption rate, was performed based on pseudo first-order, pseudo second-order and intraparticle diffusion models, respectively.