Prediction of acid dissociation constants of organic compounds using group 
contribution methods

Zhou, Teng; Jhamb, Spardha; Liang, Xiaodong; Sundmacher, Kai; Gani, Rafiqul

doi:10.1016/j.ces.2018.03.005

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Prediction of acid dissociation constants of organic compounds using group contribution methods

Zhou, T., Jhamb, S., Liang, X., Sundmacher, K., & Gani, R. (2018). Prediction of acid dissociation constants of organic compounds using group contribution methods. Chemical Engineering Science, 183, 95-105. doi:10.1016/j.ces.2018.03.005.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0000-ED6B-E Version Permalink: https://hdl.handle.net/21.11116/0000-0005-C82F-6

Genre: Journal Article

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Creators:
Zhou, Teng¹, Author
Jhamb, Spardha², Author
Liang, Xiaodong², Author
Sundmacher, Kai^{1, 3}, Author
Gani, Rafiqul^{2, 4}, Author

Affiliations:
1Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738151
2KT Consortium, Department of Chemical and Biochemical Engineering, Technical University of Denmark, DK-2800 Lyngby, Denmark, ou_persistent22
3Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156
4PSE for SPEED, Skyttemosen 6, DK-3450 Allerod, Denmark, ou_persistent22

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Language(s): eng - English

Dates: Date issued: 2018

Publication Status: Issued

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Rev. Type: Peer

Identifiers: DOI: 10.1016/j.ces.2018.03.005
Other: pubdata_escidoc:2564932

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Title: Chemical Engineering Science

Other : Chem. Eng. Sci.

Source Genre: Journal

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Publ. Info: Amsterdam : Elsevier

Pages: - Volume / Issue: 183 Sequence Number: - Start / End Page: 95 - 105 Identifier: ISSN: 0009-2509
CoNE: https://pure.mpg.de/cone/journals/resource/954925389239