English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Robust design of optimal solvents for chemical reactions − A combined experimental and computational strategy

MPS-Authors
/persons/resource/persons130465

Zhou,  Teng
Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;
International Max Planck Research School (IMPRS), Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

/persons/resource/persons86497

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

External Ressource
No external resources are shared
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Zhou, T., Lyu, Z., Qi, Z., & Sundmacher, K. (2015). Robust design of optimal solvents for chemical reactions − A combined experimental and computational strategy. Chemical Engineering Science, 137, 613-625. doi:10.1016/j.ces.2015.07.010.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0028-134B-D
Abstract
There is no abstract available