Publikationen von Teng Zhou
Alle Typen
Zeitschriftenartikel (44)
2020
Zeitschriftenartikel
223, 115752 (2020)
Prediction of CO2 solubility in ionic liquids using machine learning methods. Chemical Engineering Science
Zeitschriftenartikel
66 (2), e16821 (2020)
Extending the UNIFAC model for ionic liquid‐solute systems by combining experimental and computational databases. AIChE-Journal
Zeitschriftenartikel
250, 117210 (2020)
Investigation of energy-efficient and sustainable reactive/pressure-swing distillation processes to recover tetrahydrofuran and ethanol from the industrial effluent. Separation and Purification Technology
Zeitschriftenartikel
385, 123399 (2020)
Screening of functional solvent system for automatic aldehyde and ketone separation in aldol reaction: A combined COSMO-RS and experimental approach. Chemical Engineering Journal
Zeitschriftenartikel
59, S. 2005 - 2012 (2020)
Comparative Economic Analysis of Physical, Chemical, and Hybrid Absorption Processes for Carbon Capture. Industrial & Engineering Chemistry Research
Zeitschriftenartikel
27, S. 35 - 44 (2020)
Computer-aided solvent selection and design for efficient chemical processes. Current Opinion in Chemical Engineering 2019
Zeitschriftenartikel
65 (8), e16625 (2019)
Rational design of double salt ionic liquids as extraction solvents: Separation of thiophene/n‐octane as example. AIChE-Journal
Zeitschriftenartikel
58, S. 16743 - 16752 (2019)
Food Product Design: A Hybrid Machine Learning and Mechanistic Modeling Approach. Industrial & Engineering Chemistry Research
Zeitschriftenartikel
5 (6), S. 1017 - 1026 (2019)
Big Data Creates New Opportunities for Materials Research: A Review on Methods and Applications of Machine Learning for Materials Design. Engineering
Zeitschriftenartikel
58 (15), S. 5777 - 5786 (2019)
Optimal Solvent Design for Extractive Distillation Processes: A Multiobjective Optimization-Based Hierarchical Framework. Industrial and Engineering Chemistry Research 2018
Zeitschriftenartikel
192, S. 816 - 828 (2018)
Application of COSMO-RS and UNIFAC for ionic liquids based gas separation. Chemical Engineering Science
Zeitschriftenartikel
64 (3), S. 1013 - 1025 (2018)
Computer-aided design of ionic liquids as solvents for extractive desulfurization. AIChE-Journal
Zeitschriftenartikel
111, S. 16 - 26 (2018)
Rigorous design of reaction-separation processes using disjunctive programming models. Computers and Chemical Engineering
Zeitschriftenartikel
183, S. 95 - 105 (2018)
Prediction of acid dissociation constants of organic compounds using group contribution methods. Chemical Engineering Science 2017
Zeitschriftenartikel
5 (4), S. 3382 - 3389 (2017)
Systematic Method for Screening Ionic Liquids as Extraction Solvents Exemplified by an Extractive Desulfurization Process. ACS Sustainable Chemistry & Engineering
Zeitschriftenartikel
162, S. 355 - 363 (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 liquids. Chemical Engineering Science
Zeitschriftenartikel
162, S. 364 - 374 (2017)
COSMO-descriptor based computer-aided ionic liquid design for separation processes: Part II: Task-specific design for extraction processes. Chemical Engineering Science
Zeitschriftenartikel
159, S. 207 - 2016 (2017)
A hybrid stochastic-deterministic optimization approach for integrated solvent and process design. Chemical Engineering Science 2016
Zeitschriftenartikel
62 (9), S. 3238 - 3249 (2016)
Optimal design of solvents for extractive reaction processes. AIChE-Journal 2015
Zeitschriftenartikel
129, S. 69 - 77 (2015)
Screening of ionic liquids for solvent-sensitive extraction –with deep desulfurization as an example. Chemical Engineering Science