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A comparison of deterministic population balance equations and stochastic Monte-Carlo approaches for modelling the particle precipitation in microemulsions

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Voigt,  Andreas
Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;
Otto-von-Guericke-Universität Magdeburg, External Organizations;

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Niemann,  Björn
Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Sundmacher,  Kai
Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;
Otto-von-Guericke-Universität Magdeburg, External Organizations;

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Voigt, A., Niemann, B., Recksiedler, J., & Sundmacher, K. (2005). A comparison of deterministic population balance equations and stochastic Monte-Carlo approaches for modelling the particle precipitation in microemulsions. In Conference Proceedings, ´05 AIChE annual meeting & fall showcase (CD, pp. 411a).


Cite as: http://hdl.handle.net/11858/00-001M-0000-0013-9B90-A
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