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Numerical solutions of population balance models in preferential crystallization

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Qamar,  S.
Physical and Chemical Foundations of Process Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;
COMSATS Institute of Information Technology, Dep. of Mathematics, Islamabad, Pakistan;

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Ashfaq,  A.
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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Angelov,  I.
Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Elsner,  M. P.
Physical and Chemical Foundations of Process Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Seidel-Morgenstern,  A.
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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Qamar, S., Ashfaq, A., Angelov, I., Elsner, M. P., Warnecke, G., & Seidel-Morgenstern, A. (2008). Numerical solutions of population balance models in preferential crystallization. Chemical Engineering Science, 63(5), 1342-1352. doi:10.1016/j.ces.2007.07.045.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-95EE-C
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