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 | 259 | 2019 |
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 | 181 | 2012 |
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 | 175 | 2018 |
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 | 153 | 2020 |
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 | 126 | 2017 |
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 | 122 | 2015 |
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 | 121 | 2014 |
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 | 98 | 2015 |
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 | 83 | 2019 |
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 | 78 | 2012 |
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 | 73 | 2020 |
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 | 73 | 2019 |
Model-based method for the screening of solvents for chemical reactions T Zhou, Z Qi, K Sundmacher Chemical Engineering Science 115, 177-185, 2014 | 71 | 2014 |
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 | 69 | 2020 |
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 | 69 | 2017 |
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 | 64 | 2020 |
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 | 64 | 2018 |
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 | 64 | 2015 |
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 | 62 | 2021 |
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 | 61 | 2020 |