研究成果:
1.Wang SH, Chen M, Luo L, Ji X, Liu C, Bi KX, Zhou L*, 2023. High-throughput screening of metal-organic frameworks for hydrogen purification. Chem. Eng. J. 451, 138436.
2.Chen M, Wang SH, Zhang ZY, Ji X, Liu C*, Dai YY, Dang YG, Zhou L*. 2023. High-Throughput Virtual Screening of Metal-Organic Frameworks for Xenon Recovery from Exhaled Anesthetic Gas Mixture. Chem. Eng. J. 451, 138218.
3.Zhang ZY, Cheng M, Xiao XY, Bi KX, Song T, Hu KQ, Dai YY, Zhou L*, Liu C*, Ji X, Shi WQ. 2022. Machine-learning-guided identification of coordination polymer ligands for crystallizing separation of Cs/Sr. ACS Appl. Mater. Interfaces. 14(29), 33076-33084.
4.Zhou L, Liao ZW*, Li HR, Ji X, Yang Y, Sun JY, Wang JD, Yang YR. 2022. Design of refinery hydrogen networks with pressure swing adsorption unit configuration under uncertainty: economy and flexibility aspects. Ind. & Eng. Chem. Res. 61, 7322-7334.
5.Xia ZP, Wang SH, Zhou L* , Dai YY, Ji X. 2021. Surrogate-assisted optimization of refinery hydrogen networks with hydrogen sulfide removal. J. Clean. Prod., 310(31), 127477.
6.Wang SH, Cheng M, Zhou L*, Dai YY, Ji X. 2021. QSPR modelling for intrinsic viscosity in polymer–solvent combinations based on density functional theory. SAR and QSAR in Environmental Research, 32(5): 379-353.
7.Wu JK, Wang SH, Zhou L*, Ji X, Dai YY, Dang YG, Kraft M. 2020. A deep learning architecture in QSPR modelling for the prediction of energy conversion efficiency of solar cells. Ind. & Eng. Chem. Res. 59(42), 18991–19000.
8.Chen C, Zhou L*, Ji X, He G, Dai YY, Dang YG. 2020. Adaptive Modeling Strategy Integrating Feature Selection and Random Forest for Fluid Catalytic Cracking Processes. Ind. & Eng. Chem. Res. 59, 11265−11274.
9.Zhao FR, Wu JK, Zhao YP, Ji X, Zhou L*, Sun ZP. 2020. A machine learning methodology for reliability evaluation of complex chemical production systems. RSC Adv., 10, 20374.
10.Wang SH, Zhou L*, Ji Xu, Karimi I.A., Dang YG, 2019. A Surrogate-Assisted Approach for the Optimal Synthesis of Refinery Hydrogen Networks. Ind. & Eng. Chem. Res. 58: 16798-16812.
11.Zhou L, Liao ZW*, Ji X, Wang JD, Yang YY, Dang YG, 2019. Simulation-Based Multiobjective Optimization of the Product Separation Process within an MTP Plant. Ind. & Eng. Chem. Res. 58: 12166-12178.
12.Zhou L., Zhang C., Karimi I.A., Kraft M., 2018. An ontology framework towards decentralized information management for eco-industrial parks. Computers & Chemical Engineering, 118:49-63.
13.Zhou L, Pan M, Sikorski J, Garud S, Aditya LK, Kleinelanghorst MJ, Karimi IA, Kraft M. 2017. Towards an infrastructure for chemical process simulation and optimization in the context of eco-industrial parks. Appl. Energ. 204:1284-1298.
14.Zhou L, Pan M, Sikorski J, Garud S, Kleinelanghorst MJ, Karimi IA, Kraft M. 2017. System Development for Eco-industrial Parks Using Ontological Innovation. Energy Procedia. 105: 2239-2244.
15.Zhou L, Zhang C, Karimi IA, Kraft M. 2017. J-Park Simulator, an intelligent system for information management of eco-industrial parks. Energy Procedia. 17:2953-2958.
16.Zhou L, Liao ZW, Wang JD, Jiang BB, Yang YR, Du WL. 2015. Energy configuration and operation optimization of refinery fuel gas networks. Appl. Energ. 139:365-375.
17.Zhou L, Liao ZW, Wang JD, Jiang BB, Yang YR, Yu HJ. 2015. Simultaneous optimization of heat-integrated water allocation networks using MPEC strategy. Ind. & Eng. Chem. Res. 54(13): 3355-3366.
18.Zhou L, Liao ZW, Wang JD, Jiang BB, Yang YR. 2014. MPEC strategies for efficient and stable scheduling of hydrogen pipeline network operation. Appl. Energ. 119: 296-305.
19.Zhou L, Liao ZW, Wang JD, Jiang BB, Yang YR., Davide Hui. 2013. Optimal design of sustainable hydrogen networks. Int J Hydrogen Energy. 38: 2937-2950.
20.Zhou L, Liao ZW, Wang JD, Jiang BB, Yang YR. 2012. Hydrogen sulfide removal process embedded optimization of hydrogen network. Int J Hydrogen Energ. 37: 18163-18174.
21.Zhou L, Tokos H, Krajnc D, Yang YR. 2012. Sustainability performance evaluation in industry by composite sustainability index. Clean Technol. Envir. 14: 789-803.
22.Zhou L, Liao ZW, Wang JD, Jiang BB, Yang YR. 2012. Simultaneously optimization of hydrogen network with desulfurization processes embedded. Proceedings of the 11th International Symposium on Process System Engineering. 215-219.
23.Zhou L, Liao ZW, Tokos Hella, Wang JD, Yang YR. 2013. Multi-contaminant H2 network optimization considering H2S remove. Acta Petrolei Sinica. 29(2): 304-311.
24.于程远, 吴金奎, 周利*, 吉旭, 戴一阳, 党亚固. 基于深度学习预测有机光伏电池能量转换效率[J]. 化工学报, 2021, 72(3): 1487-1495
25.张淑君, 王诗慧, 张欣, 吉旭, 戴一阳, 党亚固, 周利*. 集成轻烃回收单元代理模型的氢气网络多目标优化[J]. 化工学报, 2022, 73(4):1658-1672
26.张欣, 周利*, 王诗慧, 吉旭. 考虑原油性质波动的炼厂氢气网络集成优化[J]. 化工学报, 2022, 73(4): 1631-1646
27.陈琳,周利*,吉旭. 基于深度学习的催化裂化过程建模方法[J]. 西安石油大学学报(自然科学版), 2023, 38
28.叶诗洋, 程敏, 吉旭, 戴一阳, 党亚固, 赵志伟, 周利*. 高性能COF材料的高通量筛选策略:己烷异构体分离. 化工学报, 2023
29.陈少臣,程敏,王诗慧,吴金奎,罗磊,薛小雨,赵志伟,吉旭,周利*. 预测金属有机骨架的甲烷和氢气输送能力的迁移学习建模, 高等学校化学学报, 2023
30.党雨萌,周利*,党亚固,吉旭,戴一阳,李好.一种新型换热网络多级超结构及其应用[J].华东理工大学学报(自然科学版). 2023
31.冯夏源, 戴一阳, 吉旭, 周利*. 机器学习与分子模拟协同的 CH4/H2分离金属有机框架高通量计算筛选[J]. 化学学报, 2022, 80.