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  Data-Driven Ionic Liquid Design for CO2 Capture: Molecular Structure Optimization and DFT Verification

Zhang, X., Wang, J., Song, Z., & Zhou, T. (2021). Data-Driven Ionic Liquid Design for CO2 Capture: Molecular Structure Optimization and DFT Verification. Industrial & Engineering Chemistry Research, 60(27), 9992-10000. doi:10.1021/acs.iecr.1c01384.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0009-1516-7 Version Permalink: https://hdl.handle.net/21.11116/0000-0009-8C77-4
Genre: Journal Article

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 Creators:
Zhang, Xiang1, Author           
Wang, Jingwen2, Author
Song, Zhen3, Author
Zhou, Teng1, 3, Author           
Affiliations:
1Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, DE, ou_1738151              
2Academy of Building Energy Efficiency, School of Civil Engineering, Guangzhou University, Guangzhou 510006, China, ou_persistent22              
3Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156              

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Language(s): eng - English
 Dates: 2021
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1021/acs.iecr.1c01384
Other: pubdata_escidoc:3337989
 Degree: -

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Title: Industrial & Engineering Chemistry Research
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 60 (27) Sequence Number: - Start / End Page: 9992 - 10000 Identifier: ISSN: 0888-5885
ISSN: 1520-5045