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Use of surrogate models for efficient optimization of simulated moving bed chromatography

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

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Li, S., Feng, L., Benner, P., & Seidel-Morgenstern, A. (2012). Use of surrogate models for efficient optimization of simulated moving bed chromatography. Poster presented at SPICA 2012 - 14th International Symposium on Preparative and Industrial Chromatography and Allied Techniques, Brüssel, Belgien.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0013-886E-4
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