| 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 | 183 | 2020 |
| 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 | 107 | 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 | 89 | 2019 |
| Sustainable product design: A life-cycle approach X Zhang, L Zhang, KY Fung, BR Bakshi, KM Ng Chemical Engineering Science 217, 115508, 2020 | 63 | 2020 |
| Comparative economic analysis of physical, chemical, and hybrid absorption processes for carbon capture X Zhang, Z Song, R Gani, T Zhou Industrial & Engineering Chemistry Research 59 (5), 2005-2012, 2020 | 59 | 2020 |
| Food Product Design: A Hybrid Machine Learning and Mechanistic Modeling Approach X Zhang, T Zhou, L Zhang, KY Fung, KM Ng Industrial & Engineering Chemistry Research 58 (36), 16743-16752, 2019 | 55 | 2019 |
| An integrated framework for designing formulated products L Zhang, KY Fung, X Zhang, HK Fung, KM Ng Computers & Chemical Engineering 107, 61-76, 2017 | 55 | 2017 |
| Data-Driven Ionic Liquid Design for CO2 Capture: Molecular Structure Optimization and DFT Verification X Zhang, J Wang, Z Song, T Zhou Industrial & Engineering Chemistry Research 60 (27), 9992-10000, 2021 | 43 | 2021 |
| Integrated Ionic Liquid and Rate-Based Absorption Process Design for Gas Separation: Global Optimization Using Hybrid Models X Zhang, X Ding, Z Song, T Zhou, K Sundmacher AIChE Journal, e17340, 2021 | 41 | 2021 |
| Model-based optimal design of phase change ionic liquids for efficient thermal energy storage H Shi, X Zhang, K Sundmacher, T Zhou Green Energy & Environment 6 (3), 392-404, 2021 | 39 | 2021 |
| Rigorous design of reaction-separation processes using disjunctive programming models X Zhang, Z Song, T Zhou Computers & Chemical Engineering 111, 16-26, 2018 | 32 | 2018 |
| Model-based thermodynamic analysis of supercritical water gasification of oil-containing wastewater J Xu, Z Peng, S Rong, H Jin, L Guo, X Zhang, T Zhou Fuel 306, 121767, 2021 | 31 | 2021 |
| CO2 mitigation costs of catalytic methane decomposition X Zhang, A Kätelhön, G Sorda, M Helmin, M Rose, A Bardow, R Madlener, ... Energy 151, 826-838, 2018 | 31 | 2018 |
| Computer-Aided Polymer Design: Integrating Group Contribution and Molecular Dynamics X Liang, X Zhang, L Zhang, L Liu, J Du, X Zhu, KM Ng Industrial & Engineering Chemistry Research 58 (34), 15542-15552, 2019 | 28 | 2019 |
| Product design: Impact of government policy and consumer preference on company profit and corporate social responsibility X Zhang, L Zhang, KY Fung, GP Rangaiah, KM Ng Computers & Chemical Engineering 118, 118-131, 2018 | 26 | 2018 |
| Optimization‐based cosmetic formulation: Integration of mechanistic model, surrogate model, and heuristics X Zhang, T Zhou, KM Ng AIChE Journal 67 (1), e17064, 2021 | 20 | 2021 |
| Integrated metal–organic framework and pressure/vacuum swing adsorption process design: Descriptor optimization X Zhang, T Zhou, K Sundmacher AIChE Journal 68 (2), e17524, 2022 | 19 | 2022 |
| Product design: Incorporating make-or-buy analysis and supplier selection X Zhang, L Zhang, KY Fung, KM Ng Chemical Engineering Science 202, 357-372, 2019 | 18 | 2019 |
| Integrated metal‐organic framework (MOF) and pressure/vacuum swing adsorption process design: MOF matching X Zhang, T Zhou, K Sundmacher AIChE Journal 68 (9), e17788, 2022 | 13 | 2022 |
| Optimal retrofit of a novel multi-component supercritical thermal fluid generation system via thermodynamic analysis J Xu, Z Peng, S Rong, Q Zhao, H Jin, L Guo, T Zhou, X Zhang Applied Thermal Engineering 219, 119511, 2023 | 12 | 2023 |
Teng ZhouThe Hong Kong University of Science and Technology (Guangzhou)Подтвержден адрес электронной почты в домене mpi-magdeburg.mpg.de