| High-throughput virtual screening of metal–organic frameworks for xenon recovery from exhaled anesthetic gas mixture M Cheng, S Wang, Z Zhang, L Zhou, C Liu, Y Dai, Y Dang, X Ji Chemical Engineering Journal 451, 138218, 2023 | 16 | 2023 |
| Deep-learning architecture in QSPR modeling for the prediction of energy conversion efficiency of solar cells J Wu, S Wang, L Zhou, X Ji, Y Dai, Y Dang, M Kraft Industrial & Engineering Chemistry Research 59 (42), 18991-19000, 2020 | 14 | 2020 |
| A surrogate-assisted approach for the optimal synthesis of refinery hydrogen networks S Wang, L Zhou, X Ji, IA Karimi, G He, Y Dang, X Xu Industrial & Engineering Chemistry Research 58 (36), 16798-16812, 2019 | 14 | 2019 |
| High-throughput screening of metal–organic frameworks for hydrogen purification S Wang, M Cheng, L Luo, X Ji, C Liu, K Bi, L Zhou Chemical Engineering Journal 451, 138436, 2023 | 11 | 2023 |
| Surrogate-assisted optimization of refinery hydrogen networks with hydrogen sulfide removal Z Xia, S Wang, L Zhou, Y Dai, Y Dang, X Ji Journal of Cleaner Production 310, 127477, 2021 | 10 | 2021 |
| QSPR modelling for intrinsic viscosity in polymer–solvent combinations based on density functional theory S Wang, M Cheng, L Zhou, Y Dai, Y Dang, X Ji SAR and QSAR in Environmental Research 32 (5), 379-393, 2021 | 9 | 2021 |
| High-throughput screening of metal–organic frameworks assisted by machine learning: Propane/propylene separation X Xue, M Cheng, S Wang, S Chen, L Zhou, C Liu, X Ji Industrial & Engineering Chemistry Research 62 (2), 1073-1084, 2023 | 8 | 2023 |
| High-throughput computational screening of metal-organic frameworks for CH4/H2 separation by synergizing machine learning and molecular simulation W Shihui, X Xiaoyu, C Min, C Shaochen, L Chong, Z Li, B Kexin, J Xu Acta Chimica Sinica 80 (5), 614, 2022 | 7 | 2022 |
| A large-scale screening of metal-organic frameworks for iodine capture combining molecular simulation and machine learning M Cheng, Z Zhang, S Wang, K Bi, K Hu, Z Dai, Y Dai, C Liu, L Zhou, X Ji, ... Frontiers of Environmental Science & Engineering 17 (12), 148, 2023 | 6 | 2023 |
| Machine Learning-Enabled Framework for High-Throughput Screening of MOFs: Application in Radon/Indoor Air Separation J Ren, S Wang, K Bi, M Cheng, C Liu, L Zhou, X Xue, X Ji ACS Applied Materials & Interfaces 15 (1), 1305-1316, 2022 | 4 | 2022 |
| Large-Scale Computational Screening of Metal-Organic Framework Membranes for Ethane/Ethylene Separation Min Cheng, Shihui Wang, Lei Luo, Li Zhou, Kexin Bi, Yiyang Dai, Xu Ji Acta Chimica Sinica 80 (9), 1277-1288, 2022 | 1 | 2022 |
| 集成轻烃回收单元代理模型的氢气网络多目标优化 张淑君， 王诗慧， 张欣， 吉旭， 戴一阳， 党亚固， 周利 化工学报 73 (4), 1658-1672, 2022 | 1 | 2022 |
| Surrogate-assisted multi-objective optimization of hydrogen networks with light hydrocarbon recovery unit S ZHANG, W Shihui, X ZHANG, JI Xu, DAI Yiyang, D Yagu, Z Li CIESC Journal 73 (4), 1658, 2022 | 1 | 2022 |
| 改进的混合整数线性模型优化化工厂多层设备布局 何巧婷， 周利， 侯梦曦， 王诗慧， 吉旭 计算机与应用化学 4, 2019 | 1 | 2019 |
| Transfer Learning Modeling for Predicting the Methane and Hydrogen Delivery Capacity of Metal-Organic Frameworks Shaochen chen, Min Cheng, Shihui Wang, Jinkui Wu, Xiaoyu Xue, Xu Ji ... Chemical Journal of Chinese Universities -Chinese Edition- 43 (11), 202020459, 2022 | | 2022 |
| Integrated optimization of refinery hydrogen networks with crude oil properties fluctuations X ZHANG, Z Li, W Shihui, JI Xu, BI Kexin CIESC Journal 73 (4), 1631, 2022 | | 2022 |
| Synthesis and optimization of refinery hydrogen network using surrogate models S Wang, L Zhou, X Ji, Y Dang Computer Aided Chemical Engineering 46, 655-660, 2019 | | 2019 |
| 面向过程的危险源辨识及可操作性评价系统 侯梦曦， 吴珊珊， 王诗慧， 党亚固， 吉旭 山东化工 22, 2018 | | 2018 |
