Modelling binary non-linear chromatography using discrete equilibrium data

Rajendran, Arvind; Maruyama, Rafael Teruo; Rubiera Landa, Hector O.; Seidel-Morgenstern, Andreas

doi:10.1007/s10450-020-00220-9

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Modelling binary non-linear chromatography using discrete equilibrium data

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Rubiera Landa, Hector O.
Physical and Chemical Foundations of Process Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;
Georgia Institute of Technology, School of Chemical & Biomolecular Engineering, 311 Ferst Drive N. W., Atlanta 30332-0100, USA;

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Seidel-Morgenstern, Andreas
Physical and Chemical Foundations of Process Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;
Otto-von-Guericke-Universität Magdeburg, External Organizations;

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Rajendran, A., Maruyama, R. T., Rubiera Landa, H. O., & Seidel-Morgenstern, A. (2020). Modelling binary non-linear chromatography using discrete equilibrium data. Adsorption, 26(7), 973-987. doi:10.1007/s10450-020-00220-9.

Cite as: https://hdl.handle.net/21.11116/0000-0006-41DB-A

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