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Max-Planck-Institut für Dynamik komplexer technischer Systeme

Dr. Teng Zhou

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Dr. Teng Zhou

Dr. Teng Zhou
Dr. Teng Zhou
Max-Planck-Institut für Dynamik komplexer technischer Systeme

Prozesstechnik

Telefon: +49 391 6110 406
Raum: N 2.12

Vita


Research Expertise

  • Computer-aided material and process design
  • Task-specific ionic liquids for chemical separations
  • Multiscale process modeling and optimization
  • Machine learning and surrogate modeling


Education

  • 2005-2009  BEng in Chemical Engineering, Nanjing Uni. of Technology
  • 2009-2012  MSc in Chemical Engineering, East China Uni. of Sci. and Tech.
  • 2012-2016  PhD in Process Systems Engineering, Otto-von-Guericke University Magdeburg (Grade: Summa Cum Laude)


Scientific Career

  • Since 2019   Junior Professor (W1 Professor), Faculty of Process & Systems Engineering, Otto-von-Guericke University Magdeburg
  • Since 2018   Team Leader, PSE Department, Max Planck Institute Magdeburg
  • 2017-2018   Postdoc Research Associate, PSE Department, MPI-Magdeburg
  • 2017           Visiting Scientist, TU Denmark (Prof. Rafiqul Gani)
  • 2012-2016   Research Assistant, PSE Department, MPI-Magdeburg


Lectures

  • 2018-          Process Systems Engineering (lecture)
  • 2014-2017   Advanced Process Systems Engineering (exercise)


Awards

  • 2017   Chinese-German Chemical Association Young Researchers Award
  • 2017   Chemical Engineering Science Outstanding Reviewer
  • 2016   Chinese Government Award for Outstanding Students Abroad
  • 2015   CAST Directors’ Award, American Institute of Chemical Engineers
  • 2013   Shanghai Outstanding Master’s Thesis Award
  • 2012   Best Paper Award, East China University of Science and Technology


Publications

[1]  Zhang X, Song Z, Gani R, Zhou T*. Comparative economic analysis of physical, chemical, and hybrid absorption processes for carbon capture. Industrial & Engineering Chemistry Research 2019, under review.

[2]  Zhou T*, McBride K, Linke S, Song Z, Sundmacher K. Computer-aided solvent selection and design for efficient chemical processes. Current Opinion in Chemical Engineering 2019, accepted.

[3]  Song Z, Zhou T*, Qi Z, Sundmacher K. Extension of UNIFAC model for ionic liquid-solute(s) systems combining experimental and computational databases. AIChE Journal 2019, accepted.

[4]  Song Z, Hu X, Zhou Y, Zhou T*, Qi Z, Sundmacher K. Rational design of double salt ionic liquids as extraction solvents: Separation of thiophene/noctane as example. AIChE Journal 2019, 65, e16625.

[5]  Zhou T*, Song Z, Sundmacher K. Big data creates new opportunities for materials research: A review on methods and applications of machine learning for materials design. Engineering 2019, doi.org/10.1016/j.eng.2019.02.011.

[6]  Zhou T*, Song Z, Zhang X, Gani R, Sundmacher K. Optimal solvent design for extractive distillation processes: A multiobjective optimization-based hierarchical framework. Industrial & Engineering Chemistry Research 2019, 58, 57775786.

[7]  Zhang X, Zhou T, Zhang L, Fung KY, Ng KM. Food product design: A hybrid machine learning and mechanistic modeling approach. Industrial & Engineering Chemistry Research 2019, 58, 1674316752.

[8]  Song Z, Li X, Chao H, Mo F, Zhou T, Cheng H, Chen L, Qi Z. Computer-aided ionic liquid design for alkane/cycloalkane extractive distillation process. Green Energy & Environment 2019, 4, 154165.

[9]  Zhou T, Jhamb S, Liang X, Sundmacher K, Gani R. Prediction of acid dissociation constants of organic compounds using group contribution methods. Chemical Engineering Science 2018, 183, 95–105.

[10] Song Z, Zhang C, Qi Z*, Zhou T*, Sundmacher K. Computer-aided design of ionic liquids as solvents for extractive desulfurization. AIChE Journal 2018, 64, 10131025.

[11] Zhang X, Song Z, Zhou T*. Rigorous design of reaction-separation processes using disjunctive programming models. Computers & Chemical Engineering 2018, 111, 1626.

[12] Liu X, Zhou T, Zhang X, Zhang S, Liang X, Gani R, Kontogeorgis G. Application of COSMO-RS and UNIFAC for ionic liquids based gas separation. Chemical Engineering Science 2018, 192, 816828.

[13] Bechtel S, Song Z, Zhou T, Vidakovic-Koch T, Sundmacher K. Integrated process and ionic liquid design by combining flowsheet simulation with quantum-chemical solvent screening. Computer Aided Chemical Engineering 2018, 44, 21672172.

[14] Zhou T*, Zhou Y, Sundmacher K. A hybrid stochastic-deterministic optimization approach for integrated solvent and process design. Chemical Engineering Science 2017, 159, 207−216.

[15] Song Z, Zhou T*, Qi Z*, Sundmacher K. Systematic method for screening ionic liquids as extraction solvents exemplified by an extractive desulfurization process. ACS Sustainable Chemistry & Engineering 2017, 5, 3382−3389.

[16] Zhang J, Peng D, Song Z, Zhou T, Cheng H, Chen L, Qi Z. 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 liquids. Chemical Engineering Science 2017, 162, 355−363.

[17] Zhang J, Qin L, Peng D, Zhou T, Cheng H, Chen L, Qi Z. COSMO-descriptor based computer-aided ionic liquid design for separation processes. Part II: Task-specific design for extraction processes. Chemical Engineering Science 2017, 162, 364−374.

[18] Zhou T, Wang J, McBride K, Sundmacher K. Optimal design of solvents for extractive reaction processes. AIChE Journal 2016, 62, 3238−3249.

[19] Zhou T, Lyu Z, Qi Z, Sundmacher K. Robust design of optimal solvents for chemical reactions−A combined experimental and computational strategy. Chemical Engineering Science 2015, 137, 613−625.

[20] Song Z, Zhou T, Zhang J, Cheng H, Chen L, Qi Z. Screening of ionic liquids for solvent-sensitive extraction with deep desulfurization as an example. Chemical Engineering Science 2015, 129, 6977.

[21] Zhou T, McBride K, Zhang X, Qi Z, Sundmacher K. Integrated solvent and process design exemplified for a Diels-Alder reaction. AIChE Journal 2015, 61, 147158.

[22] Zhou T, Qi Z, Sundmacher K. Model-based method for the screening of solvents for chemical reactions. Chemical Engineering Science 2014, 115, 177185.

[23] Lyu Z, Zhou T, Chen L, Ye Y, Sundmacher K, Qi Z. Simulation based ionic liquid screening for benzene-cyclohexane extractive separation. Chemical Engineering Science 2014, 113, 4553.

[24] Zhou T, Chen L, Ye Y, Chen L, Qi Z, Freund H, Sundmacher K. An overview of mutual solubility of ionic liquids and water predicted by COSMO-RS. Industrial & Engineering Chemistry Research 2012, 51, 62566264.

[25] Zhou T, Wang Z, Ye Y, Chen L, Xu J, Qi Z. Deep separation of benzene from cyclohexane by liquid extraction using ionic liquids as the solvent. Industrial & Engineering Chemistry Research 2012, 51, 55595564.

[26] Zhou T, Wang Z, Chen L, Ye Y, Qi Z, Freund H, Sundmacher K. Evaluation of the ionic liquids 1-alkyl-3-methylimidazolium hexafluorophosphate as a solvent for the extraction of benzene from cyclohexane: (Liquid + liquid) equilibria. Journal of Chemical Thermodynamics 2012, 48, 145149.

[27] Chen L, Zhou T, Chen L, Ye Y, Qi Z, Freund H, Sundmacher K. Selective oxidation of cyclohexanol to cyclohexanone in the ionic liquid 1-octyl-3-methylimidazolium chloride. Chemical Communications 2011, 47, 93549356.

 
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