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Journal Article

Computer-aided solvent selection and design for efficient chemical processes

MPS-Authors
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Zhou,  Teng
Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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McBride,  Kevin
Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Linke,  Steffen
International Max Planck Research School (IMPRS), Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;
Otto-von-Guericke-Universität Magdeburg, External Organizations;

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Song,  Zhen
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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Fulltext (public)

zhou_3195371.pdf
(Publisher version), 883KB

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Citation

Zhou, T., McBride, K., Linke, S., Song, Z., & Sundmacher, K. (2020). Computer-aided solvent selection and design for efficient chemical processes. Current Opinion in Chemical Engineering, 27, 35-44. doi:10.1016/j.coche.2019.10.007.


Cite as: http://hdl.handle.net/21.11116/0000-0005-D8FA-E
Abstract
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