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  Optimal Solvent Design for Extractive Distillation Processes: A Multiobjective Optimization-Based Hierarchical Framework

Zhou, T., Song, Z., Zheng, X., Gani, R., & Sundmacher, K. (2019). Optimal Solvent Design for Extractive Distillation Processes: A Multiobjective Optimization-Based Hierarchical Framework. Industrial and Engineering Chemistry Research. doi:10.1021/acs.iecr.8b04245.

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 Creators:
Zhou, T.1, Author           
Song, Z.1, Author           
Zheng, X.2, Author           
Gani, R.3, Author
Sundmacher, K.1, 4, Author           
Affiliations:
1Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738151              
2The Hong Kong University of Science and Technology, Department of Chemical and Biological Engineering, ou_persistent22              
3PSE for SPEED, Skyttemosen 6, DK 3450 Allerod, Denmark, ou_persistent22              
4Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156              

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Language(s): eng - English
 Dates: 2019
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1021/acs.iecr.8b04245
 Degree: -

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Title: Industrial and Engineering Chemistry Research
Source Genre: Journal
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Publ. Info: Washington, D.C : American Chemical Society
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: ISSN: 0888-5885
CoNE: https://pure.mpg.de/cone/journals/resource/954928546246