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Teng Zhou
Teng Zhou
The Hong Kong University of Science and Technology (Guangzhou)
Verified email at mpi-magdeburg.mpg.de - Homepage
Title
Cited by
Cited by
Year
Big data creates new opportunities for materials research: a review on methods and applications of machine learning for materials design
T Zhou, Z Song, K Sundmacher
Engineering 5 (6), 1017-1026, 2019
2352019
An overview of mutual solubility of ionic liquids and water predicted by COSMO-RS
T Zhou, L Chen, Y Ye, L Chen, Z Qi, H Freund, K Sundmacher
Industrial & engineering chemistry research 51 (17), 6256-6264, 2012
1772012
Computer‐aided design of ionic liquids as solvents for extractive desulfurization
Z Song, C Zhang, Z Qi, T Zhou, K Sundmacher
AIChE Journal 64 (3), 1013-1025, 2018
1702018
Prediction of CO2 solubility in ionic liquids using machine learning methods
Z Song, H Shi, X Zhang, T Zhou
Chemical Engineering Science 223, 115752, 2020
1412020
Systematic method for screening ionic liquids as extraction solvents exemplified by an extractive desulfurization process
Z Song, T Zhou, Z Qi, K Sundmacher
ACS Sustainable Chemistry & Engineering 5 (4), 3382-3389, 2017
1232017
Reprint of: Simulation based ionic liquid screening for benzene–cyclohexane extractive separation
Z Lyu, T Zhou, L Chen, Y Ye, K Sundmacher, Z Qi
Chemical Engineering Science 115, 186-194, 2014
1212014
Screening of ionic liquids for solvent-sensitive extraction–with deep desulfurization as an example
Z Song, T Zhou, J Zhang, H Cheng, L Chen, Z Qi
Chemical Engineering Science 129, 69-77, 2015
1192015
Integrated solvent and process design exemplified for a Diels–Alder reaction
T Zhou, K McBride, X Zhang, Z Qi, K Sundmacher
AIChE Journal 61 (1), 147-158, 2015
962015
Optimal solvent design for extractive distillation processes: a multiobjective optimization-based hierarchical framework
T Zhou, Z Song, X Zhang, R Gani, K Sundmacher
Industrial & Engineering Chemistry Research 58 (15), 5777-5786, 2019
812019
Deep separation of benzene from cyclohexane by liquid extraction using ionic liquids as the solvent
T Zhou, Z Wang, Y Ye, L Chen, J Xu, Z Qi
Industrial & engineering chemistry research 51 (15), 5559-5564, 2012
772012
Computer-aided ionic liquid design for alkane/cycloalkane extractive distillation process
Z Song, X Li, H Chao, F Mo, T Zhou, H Cheng, L Chen, Z Qi
Green Energy & Environment 4 (2), 154-165, 2019
722019
Systematic Screening of Deep Eutectic Solvents as Sustainable Separation Media Exemplified by the CO2 Capture Process
Z Song, X Hu, H Wu, M Mei, S Linke, T Zhou, Z Qi, K Sundmacher
ACS sustainable chemistry & engineering 8 (23), 8741-8751, 2020
712020
Model-based method for the screening of solvents for chemical reactions
T Zhou, Z Qi, K Sundmacher
Chemical Engineering Science 115, 177-185, 2014
712014
A hybrid stochastic–deterministic optimization approach for integrated solvent and process design
T Zhou, Y Zhou, K Sundmacher
Chemical Engineering Science 159, 207-216, 2017
692017
Computer-aided solvent selection and design for efficient chemical processes
T Zhou, K McBride, S Linke, Z Song, K Sundmacher
Current Opinion in Chemical Engineering 27, 35-44, 2020
662020
Investigation of energy-efficient and sustainable reactive/pressure-swing distillation processes to recover tetrahydrofuran and ethanol from the industrial effluent
A Yang, Y Su, L Teng, S Jin, T Zhou, W Shen
Separation and Purification Technology 250, 117210, 2020
622020
Application of COSMO-RS and UNIFAC for ionic liquids based gas separation
X Liu, T Zhou, X Zhang, S Zhang, X Liang, R Gani, GM Kontogeorgis
Chemical Engineering Science 192, 816-828, 2018
622018
Robust design of optimal solvents for chemical reactions—A combined experimental and computational strategy
T Zhou, Z Lyu, Z Qi, K Sundmacher
Chemical Engineering Science 137, 613-625, 2015
622015
Extending the UNIFAC model for ionic liquid–solute systems by combining experimental and computational databases
Z Song, T Zhou, Z Qi, K Sundmacher
AIChE Journal 66 (2), e16821, 2020
602020
Thermodynamic modeling and rational design of ionic liquids for pre-combustion carbon capture
T Zhou, H Shi, X Ding, Y Zhou
Chemical Engineering Science 229, 116076, 2021
582021
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