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Zhen Song (宋震)
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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
2392019
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
1712018
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
1432020
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
1242017
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
1202015
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
832019
Carbon dioxide solubility in phosphonium-based deep eutectic solvents: an experimental and molecular dynamics study
J Wang, H Cheng, Z Song, L Chen, L Deng, Z Qi
Industrial & Engineering Chemistry Research 58 (37), 17514-17523, 2019
782019
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
742020
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
Multilevel screening of ionic liquid absorbents for simultaneous removal of CO2 and H2S from natural gas
J Wang, Z Song, H Cheng, L Chen, L Deng, Z Qi
Separation and Purification Technology 248, 117053, 2020
692020
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
682020
Computer-Aided Design of Ionic Liquids as Absorbent for Gas Separation Exemplified by CO2 Capture Cases
J Wang, Z Song, H Cheng, L Chen, L Deng, Z Qi
ACS sustainable chemistry & engineering 6 (9), 12025-12035, 2018
682018
Prediction of CO2 solubility in deep eutectic solvents using random forest model based on COSMO-RS-derived descriptors
J Wang, Z Song, L Chen, T Xu, L Deng, Z Qi
Green Chemical Engineering 2 (4), 431-440, 2021
652021
Computer-aided design and process evaluation of ionic liquids for n-hexane-methylcyclopentane extractive distillation
H Chao, Z Song, H Cheng, L Chen, Z Qi
Separation and Purification Technology 196, 157-165, 2018
612018
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
Effect of cation alkyl chain length on liquid-liquid equilibria of {ionic liquids+ thiophene+ heptane}: COSMO-RS prediction and experimental verification
Z Song, J Zhang, Q Zeng, H Cheng, L Chen, Z Qi
Fluid Phase Equilibria 425, 244-251, 2016
592016
Rational design of double salt ionic liquids as extraction solvents: Separation of thiophene/n‐octane as example
Z Song, X Hu, Y Zhou, T Zhou, Z Qi, K Sundmacher
AIChE Journal 65 (8), e16625, 2019
552019
Bifunctional imidazole‐PTSA deep eutectic solvent for synthesizing long‐chain ester IBIBE in reactive extraction
H Qin, Z Song, Q Zeng, H Cheng, L Chen, Z Qi
AIChE Journal 65 (2), 675-683, 2019
552019
Evaluation of COSMO-RS for solid–liquid equilibria prediction of binary eutectic solvent systems
Z Song, J Wang, K Sundmacher
Green Energy & Environment 6 (3), 371-379, 2021
512021
COSMO-descriptor based computer-aided ionic liquid design for separation processes. Part I: Modified group contribution methodology for predicting surface charge density …
J Zhang, D Peng, Z Song, T Zhou, H Cheng, L Chen, Z Qi
Chemical Engineering Science 162, 355-363, 2017
502017
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Articles 1–20