| A novel waste heat recovery system combing steam Rankine cycle and organic Rankine cycle for marine engine X Liu, MQ Nguyen, J Chu, T Lan, M He Journal of Cleaner Production 265, 121502, 2020 | 104 | 2020 |
| Understanding lignin gasification in supercritical water using reactive molecular dynamics simulations X Liu, T Wang, J Chu, M He, Q Li, Y Zhang Renewable Energy 161, 858-866, 2020 | 59 | 2020 |
| A novel method overcomeing overfitting of artificial neural network for accurate prediction: Application on thermophysical property of natural gas J Chu, X Liu, Z Zhang, Y Zhang, M He Case Studies in Thermal Engineering 28, 101406, 2021 | 45 | 2021 |
| A new phase-change cooling method for the frequent start-stop electric motor X Liu, Y Shi, J Chu, S Xue, Q Zhao, X Wu, M He Applied Thermal Engineering 198, 117504, 2021 | 21 | 2021 |
| Molecular dynamics simulation of diffusion and interaction of [bmim][Tf2N]+ HFO-1234yf mixture T Wang, X Liu, J Chu, Y Shi, J Li, M He Journal of Molecular Liquids 312, 113390, 2020 | 19 | 2020 |
| Estimating the solubility of HFC/HFO in ionic liquids from molecular structure using machine learning method J Chu, Z Zhang, X Liu, M He Chemical Engineering Research and Design 184, 315-325, 2022 | 14 | 2022 |
| Mining ionic conductivity descriptors of antiperovskite electrolytes for all-solid-state batteries via machine learning Z Zhang, J Chu, H Zhang, X Liu, M He Journal of Energy Storage 75, 109714, 2024 | 9 | 2024 |
| Machine Learning-Based Design of Ionic Liquids at the Atomic Scale for Highly Efficient CO2 Capture X Liu, J Chu, S Huang, A Li, S Wang, M He ACS Sustainable Chemistry & Engineering 11 (24), 8978-8987, 2023 | 8 | 2023 |
| Data-driven multi-objective molecular design of ionic liquid with high generation efficiency on small dataset X Liu, J Chu, Z Zhang, M He Materials & Design 220, 110888, 2022 | 7 | 2022 |
| General model based on artificial neural networks for estimating the viscosities of oxygenated fuels X Liu, F Yang, J Chu, C Zhu, M He, Y Zhang ACS omega 4 (15), 16564-16571, 2019 | 6 | 2019 |
| Numerical study of flow and heat transfer in a rectangular channel partially filled with porous media at the pore scale using Lattice Boltzmann method T Lai, X Liu, J Chu, M He, Y Zhang Heat Transfer Engineering 43 (8-10), 818-829, 2022 | 3 | 2022 |
| Performance of a novel waste heat-powered ionic liquid-based CO2 capture and liquefaction system for large-scale shipping S Huang, P Wang, J Chu, W Afzal, X Liu, Z Lu, J Long, M He Chemical Engineering Journal 499, 155911, 2024 | 2 | 2024 |
| Screening HFC/HFO and ionic liquid for absorption refrigeration at the atomic scale by the prediction model of machine learning J Chu, M He, GM Kontogeorgis, X Liu, X Liang Green Chemical Engineering, 2024 | 2 | 2024 |
| Machine learning-assisted development of gas separation membranes: A review A Li, J Chu, S Huang, Y Liu, M He, X Liu Carbon Capture Science & Technology 14, 100374, 2025 | | 2025 |
