CAS OpenIR  > 多相复杂系统国家重点实验室
Predicting the Viscosity of Ionic Liquids by the ELM Intelligence Algorithm
Kang, Xuejing1; Zhao, Zhijun2; Qian, Jianguo3; Afzal, Raja Muhammad3

Predicting the viscosity of ionic liquids (ILs) is crucial for their applications in chemical and related industries. In this study, a large data set of experimental viscosity data of ILs with a wide range of viscosity (7.83-142 000 cP), pressure (1-3000 bar), and temperature (258.15-395.32 K) are employed to build predictive models. The structures of cations and anions for 89 ILs are optimized, and the S sigma-profiles descriptors are calculated using the quantum chemistry method.Two new models are developed by using extreme learning machine (ELM) intelligence algorithm with the temperature, pressure, and a number of S sigma-profiles descriptors as input parameters. The coefficient of determination (R-2) and average absolute relative deviation (AARD %) of the total sets of the two predictive models are 0.982, 2.21% and 0.951, 4.10%, respectively. The results show that the two ELM models are reliable for predicting the viscosity of ILs.

WOS HeadingsScience & Technology ; Technology
Indexed BySCI
WOS KeywordArtificial Neural-network ; Extreme Learning-machine ; Electrolytic Conductivity ; Extensive Database ; Model ; Solubility ; Solvents ; Co2 ; Qspr ; Descriptors
WOS Research AreaEngineering
WOS SubjectEngineering, Chemical
Funding OrganizationBeijing Natural Science Foundation(2164062) ; State Key Laboratory of Chemical Engineering(SKL-ChE-15A01)
WOS IDWOS:000412717900042
Citation statistics
Document Type期刊论文
Affiliation1.Zhengzhou Univ Light Ind, Coll Mat & Chem Engn, Zhengzhou 450002, Henan, Peoples R China
2.Tsinghua Univ, Dept Chem Engn, State Key Lab Chem Engn, Beijing 100084, Peoples R China
3.Chinese Acad Sci, Inst Proc Engn, State Key Lab Multiphase Complex Syst, Beijing Key Lab Ion Liquids Clean Proc, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Kang, Xuejing,Zhao, Zhijun,Qian, Jianguo,et al. Predicting the Viscosity of Ionic Liquids by the ELM Intelligence Algorithm[J]. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH,2017,56(39):11344-11351.
APA Kang, Xuejing,Zhao, Zhijun,Qian, Jianguo,&Afzal, Raja Muhammad.(2017).Predicting the Viscosity of Ionic Liquids by the ELM Intelligence Algorithm.INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH,56(39),11344-11351.
MLA Kang, Xuejing,et al."Predicting the Viscosity of Ionic Liquids by the ELM Intelligence Algorithm".INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH 56.39(2017):11344-11351.
Files in This Item:
File Name/Size DocType Version Access License
Predicting the Visco(1950KB)期刊论文出版稿限制开放CC BY-NC-SAApplication Full Text
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Kang, Xuejing]'s Articles
[Zhao, Zhijun]'s Articles
[Qian, Jianguo]'s Articles
Baidu academic
Similar articles in Baidu academic
[Kang, Xuejing]'s Articles
[Zhao, Zhijun]'s Articles
[Qian, Jianguo]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Kang, Xuejing]'s Articles
[Zhao, Zhijun]'s Articles
[Qian, Jianguo]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.