Publications of Teng Zhou

Journal Article (44)

2020
Journal Article
Song, Z., Shi, H., Zhang, X., & Zhou, T. (2020)Prediction of CO2 solubility in ionic liquids using machine learning methodsChemical Engineering Science, 223, 115752doi: 10.1016/j.ces.2020.115752.
MPG.PuRe
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Journal Article
Song, Z., Zhou, T., Qi, Z., & Sundmacher, K. (2020)Extending the UNIFAC model for ionic liquid‐solute systems by combining experimental and computational databasesAIChE-Journal, 66 (2), e16821doi: 10.1002/aic.16821.
MPG.PuRe
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Journal Article
Yang, A., Su, Y., Teng, L., Jin, S., Zhou, T., & Shen, W. (2020)Investigation of energy-efficient and sustainable reactive/pressure-swing distillation processes to recover tetrahydrofuran and ethanol from the industrial effluentSeparation and Purification Technology, 250, 117210doi: 10.1016/j.seppur.2020.117210.
MPG.PuRe
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Journal Article
Zhang, C., Song, Z., Jin, C., Nijhuis, J., Zhou, T., Noël, T., Gröger, H., Sundmacher, K., van Hest, J., & Hessel, V. (2020)Screening of functional solvent system for automatic aldehyde and ketone separation in aldol reaction: A combined COSMO-RS and experimental approachChemical Engineering Journal, 385, 123399doi: 10.1016/j.cej.2019.123399.
MPG.PuRe
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publisher-version
Journal Article
Zhang, X., Song, Z., Gani, R., & Zhou, T. (2020)Comparative Economic Analysis of Physical, Chemical, and Hybrid Absorption Processes for Carbon CaptureIndustrial & Engineering Chemistry Research, 59, 2005–2012doi: 10.1021/acs.iecr.9b05510.
MPG.PuRe
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post-print
Journal Article
Zhou, T., McBride, K., Linke, S., Song, Z., & Sundmacher, K. (2020)Computer-aided solvent selection and design for efficient chemical processesCurrent Opinion in Chemical Engineering, 27, 35–44doi: 10.1016/j.coche.2019.10.007.
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publisher-version
2019
Journal Article
Song, Z., Zhou, Y., Zhou, T., Qi, Z., & Sundmacher, K. (2019)Rational design of double salt ionic liquids as extraction solvents: Separation of thiophene/n‐octane as exampleAIChE-Journal, 65 (8), e16625doi: 10.1002/aic.16625.
MPG.PuRe
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post-print
Journal Article
Zhang, X., Zhou, T., Zhang, L., Fung, K. Y., & Ng, K. M. (2019)Food Product Design: A Hybrid Machine Learning and Mechanistic Modeling ApproachIndustrial & Engineering Chemistry Research, 58, 16743–16752doi: 10.1021/acs.iecr.9b02462.
MPG.PuRe
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Journal Article
Zhou, T., Song, Z., & Sundmacher, K. (2019)Big Data Creates New Opportunities for Materials Research: A Review on Methods and Applications of Machine Learning for Materials DesignEngineering, 5 (6), 1017–1026doi: 10.1016/j.eng.2019.02.011.
MPG.PuRe
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publisher-version
Journal Article
Zhou, T., Song, Z., Zheng, X., Gani, R., & Sundmacher, K. (2019)Optimal Solvent Design for Extractive Distillation Processes: A Multiobjective Optimization-Based Hierarchical FrameworkIndustrial and Engineering Chemistry Research, 58 (15), 5777–5786doi: 10.1021/acs.iecr.8b04245.
MPG.PuRe
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post-print
2018
Journal Article
Liu, X., Zhou, T., Zhang, X., Zhang, S., Liang, X., Gani, R., & Kontogeorgis, G. M. (2018)Application of COSMO-RS and UNIFAC for ionic liquids based gas separationChemical Engineering Science, 192, 816–828doi: 10.1016/j.ces.2018.08.002.
MPG.PuRe
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Journal Article
Song, Z., Zhang, C., Qi , Z., Zhou, T., & Sundmacher, K. (2018)Computer-aided design of ionic liquids as solvents for extractive desulfurizationAIChE-Journal, 64 (3), 1013–1025doi: 10.1002/aic.15994.
MPG.PuRe
DOI
Journal Article
Zhang, X., Song, Z., & Zhou, T. (2018)Rigorous design of reaction-separation processes using disjunctive programming modelsComputers and Chemical Engineering, 111, 16–26doi: 10.1016/j.compchemeng.2017.12.013.
MPG.PuRe
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post-print
Journal Article
Zhou, T., Jhamb, S., Liang, X., Sundmacher, K., & Gani, R. (2018)Prediction of acid dissociation constants of organic compounds using group contribution methodsChemical Engineering Science, 183, 95–105doi: 10.1016/j.ces.2018.03.005.
MPG.PuRe
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post-print
2017
Journal Article
Song, Z., Zhou, T., Qi, Z., & Sundmacher, K. (2017)Systematic Method for Screening Ionic Liquids as Extraction Solvents Exemplified by an Extractive Desulfurization ProcessACS Sustainable Chemistry & Engineering, 5 (4), 3382–3389doi: 10.1021/acssuschemeng.7b00024.
MPG.PuRe
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Journal Article
Zhang, J., Peng, D., Song, Z., Zhou, T., Cheng, H., Chen, L., & Qi, Z. (2017)COSMO-descriptor based computer-aided ionic liquid design for separation processes. Part I: Modified group contribution methodology for predicting surface charge density profile of ionic liquidsChemical Engineering Science, 162, 355–363doi: 10.1016/j.ces.2016.12.022.
MPG.PuRe
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Journal Article
Zhang, J., Qin, L., Peng, D., Zhou, T., Cheng, H., Chen, L., & Qi, Z. (2017)COSMO-descriptor based computer-aided ionic liquid design for separation processes: Part II: Task-specific design for extraction processesChemical Engineering Science, 162, 364–374doi: 10.1016/j.ces.2016.12.023.
MPG.PuRe
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Journal Article
Zhou, T., Zhou, Y., & Sundmacher, K. (2017)A hybrid stochastic-deterministic optimization approach for integrated solvent and process designChemical Engineering Science, 159, 207–2016doi: 10.1016/j.ces.2016.03.011.
MPG.PuRe
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post-print
2016
Journal Article
Zhou, T., Wang, J., McBride, K., & Sundmacher, K. (2016)Optimal design of solvents for extractive reaction processesAIChE-Journal, 62 (9), 3238–3249doi: 10.1002/aic.15360.
MPG.PuRe
DOI
2015
Journal Article
Song, Z., Zhou, T., Zhang, J., Cheng , H., Chen , L., & Qi , Z. (2015)Screening of ionic liquids for solvent-sensitive extraction –with deep desulfurization as an exampleChemical Engineering Science, 129, 69–77doi: 10.1016/j.ces.2015.02.023.
MPG.PuRe
DOI
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