加入智慧能源学院之后
（1）专利、软著
4、能源材料：一种硅/石墨烯复合纤维及其制备方法和应用，申请号：CN202511660278.6
3、能源装备软件：面向反应器多目标优化的本地部署微调大语言模型与智能推理系统软件V1.0，登记号：2025SR2216251
2、能源材料软件：基于Transformer模型的多元合金催化剂智能设计软件V1.0，登记号：2025SR2215364
1、聚丙烯Spherizone工艺产品性能预测软件, 登记号：2024SR2106962.
（2）学术论文
2025年
39、多相流反应装备过程强化实验与CFD流场机理分析：Hongji Lu (卢鸿基), Huilong Wei*, Lianyong Zhou, Ling Qin, Zheng-Hong Luo*, Li-Tao Zhu*, Effects of solid particles and solvents on liquid-liquid mass transfer mechanisms in a high-throughput macro-microreactor: Experiments and CFD simulations. Chemical Engineering Research and Design, 2025, Accepted. https://doi.org/10.1016/j.cherd.2025.12.006
38、大/小模型和贝叶斯优化赋能CO2加氢制甲醇反应器建模及在线自动优化：Tao Hu (胡涛，本科生), Ling Qing, Lianyong Zhou*, Xiaofan Zheng, Li-Tao Zhu*, Analysis and optimization of methanol production and temperature gradient in CO2 hydrogenation fixed bed reactors using CFD and Bayesian optimization. Chemical Engineering Science, 2026, 321, 123030. https://doi.org/10.1016/j.ces.2025.123030
37、气固两相流CFD-DEM模拟过程中的映射策略初步总结与分析：Lianyong Zhou (周连勇), Zhongmei Li, Zheng-Hong Luo*, Li-Tao Zhu*, Mapping strategies for unresolved CFD-DEM modeling of fluid-solid flows: Latest developments and perspectives, Particuology, 2026, 41-53. https://doi.org/10.1016/j.partic.2025.11.008
36、机器学习和多尺度建模辅助氢燃料电池冷启动设计与优化：Sheng Yang, Jiaqin Zhu, Chengwei Deng, Wei Du, Feng Shao*, Ming Gong, Li-Tao Zhu*. Machine learning and computational modeling informed cold-start design and optimization for proton exchange membrane fuel cells with cathode catalytic H2-O2 reaction heating. ENGINEERING Chemical Engineering, 2025, 20(3), 19.
35、颗粒解析CFD模拟固定床及压降关联式构建：Ling Qin (覃岭), Lianyong Zhou, Xiaofan Zheng, Tao Hu, Eugeny Y. Kenig, Li-Tao Zhu*, Zheng-Hong Luo. Particle-resolved simulations of transport phenomena and correlation development for fixed beds with Platonic particles. Chemical Engineering Science, 2026, 319, 122245. https://doi.org/10.1016/j.ces.2025.122245
34、大数据和AI赋能催化剂智能设计：Xiaofan Zheng (郑晓帆), Jia Yang, Lianyong Zhou, Ling Qin, Chongjing Lu, Nicolas Alonso-Vante, Zhen Huang, Pengfei Zhang, Yin-Ning Zhou, Zheng-Hong Luo*, Li-Tao Zhu*, Big Data-Driven Machine Learning Transformation for Atomic-Scale Heterogeneous Catalyst Design: A Critical Review. Chemical Engineering Science, 2025, 313, 121740. https://doi.org/10.1016/j.ces.2025.121740. (备注：基于文献总结与分析而撰写的综述，粗浅观点不定合适，不当之处、敬请批评指正！)
33、固定床反应器建模与优化：Cai Xu (徐才), Feng Ju, Xiaofan Zheng, Yujia Liu, Jialong Huang, Gaoyang Li, Yongshuai Li, Li-Tao Zhu*, Lei Ye* and Hui Pan*. Computational fluid dynamics modelling of fixed-Bed reactors using particle-resolved approach. Processes, 2025, 13(6), 1820; https://doi.org/10.3390/pr13061820
2024年
32、串联反应器建模与分析：Ya-Nan Yang, Jian-Peng Han, Yan-Peng Ma, Li-Tao Zhu*, Yin-Ning Zhou*, Zheng-Hong Luo*. Modeling and analysis of polypropylene copolymer properties and pressure stability for integrated tubular loop reactor and MZCR. Chemical Engineering Science, 2024, 120657. https://doi.org/10.1016/j.ces.2024.120657.
串联反应器（集成环管和多区循环反应器）内聚丙烯共聚物性能和压力稳定性的建模与分析
加入智慧能源学院之前
31、Li‐Tao Zhu, Eugeny Y Kenig*, Particle-resolved CFD and machine learning to predict transport and reaction behaviors in methanol-to-olefin packed bed reactors. AIChE J., 2024, e18520.
30、Gaoyang Li, Shengyi Guan, Yan Gao, Wenzhi Liu, Yi Zheng, Hui Pan*, Litao Zhu*, Hao Ling*. Evaluation of multi-objective optimization methods applied to ternary dividing-wall columns. Chem. Eng. Res. Des., 2024, 203, 573-582.
29、Zhe Chen, Li‐Tao Zhu*, Zheng-Hong Luo*, Characterizing flow and transport in biological vascular systems: A review from physiological and chemical engineering perspectives. Ind. Eng. Chem. Res., 2024, 63(1), 4–36.
28、Li‐Tao Zhu, Anthony Wachs*, Interpolation of probability-driven model to predict hydrodynamic forces and torques in particle-laden flows. AIChE J., 2023, 69(11), e18209.
27、Li-Tao Zhu, He Lei, Bo Ouyang, Zhao-Quan Wen, Ya-Nan Yang, Zheng-Hong Luo*, Optimizing injection modes and reactor shapes in gas-particle fluidized beds using a mesoscale CFD model. Powder Technol., 2023, 118941.
26、He Lei, Li‐Tao Zhu*, Zheng-Hong Luo*, CFD-DEM study of reactive gas-solid flows with cohesive particles in a high temperature polymerization fluidized bed. Chem. Eng. Sci., 2023, 268, 118437.
25、Li-Tao Zhu, He Lei, Bo Ouyang, Zheng-Hong Luo*, Using mesoscale drag model-augmented coarse-grid simulation to design fluidized bed reactor: Effect of bed internals and sizes. Chem. Eng. Sci., 2022, 253, 117547.
24、Li-Tao Zhu, Xi-Zhong Chen, Bo Ouyang, Wei-Cheng Yan, He Lei, Zhe Chen, Zheng-Hong Luo*, Review of machine learning for hydrodynamics, transport and reactions in multiphase flows and reactors. Ind. Eng. Chem. Res., 2022, 61(28), 9901-9949. (ESI高被引论文)
23、Jun-Sen Li, Li‐Tao Zhu*, Zheng-Hong Luo*, Effect of geometric configuration on hydrodynamics, heat transfer and RTD in a pilot-scale biomass pyrolysis vapor-phase upgrading reactor. Chem. Eng. J., 2022, 428, 131048.
22、Bo Ouyang, Li‐Tao Zhu*, Zheng-Hong Luo*, Machine learning for full spatiotemporal acceleration of gas-particle flow simulations. Powder Technol., 2022, 408, 117701.
21、Li‐Tao Zhu, Bo Ouyang, He Lei, Zheng‐Hong Luo*, Conventional and data-driven modeling of mesoscale drag, heat transfer and reaction rate in gas-particle flows. AIChE J., 2021, e17299. (美国化工学会2021-2022高被引论文)
20、Li-Tao Zhu, Xi-Zhong Chen, Zheng-Hong Luo*, Analysis and development of homogeneous drag closure for filtered mesoscale modeling of fluidized gas-particle flows. Chem. Eng. Sci., 2021, 229, 116147.
19、Bo Ouyang, Li‐Tao Zhu*, Zheng‐Hong Luo*, Data-driven modeling of mesoscale solids stress closures for filtered two-fluid model in gas-particle flows. AIChE J., 2021, e17290.
18、He Lei, Li‐Tao Zhu*, Zheng‐Hong Luo*, Study of filtered interphase heat transfer using highly resolved CFD–DEM simulations. AIChE J., 2021, 67(4), e17121.
17、Jun-Sen Li, Li‐Tao Zhu*, Wei-Cheng Yan, Taha Abbas Bin Rashid, Qun-Jie Xu, Zheng-Hong Luo*, Coarse-grid simulations of full-loop gas-solid flows using a hybrid drag model: Investigations on turbulence models. Powder Technol., 2021, 379, 108-126.
16、Li‐Tao Zhu, Jia‐Xun Tang, Zheng‐Hong Luo*, Machine learning to assist filtered two-fluid model development for dense gas-particle flows. AIChE J., 2020, 66(6), e16973.
15、Li-Tao Zhu, Ya-Nan Yang, De-Tao Pan, Zheng-Hong Luo*, Capability assessment of coarse-grid simulation of gas-particle riser flow using sub-grid drag closures. Chem. Eng. Sci., 2020, 213, 115410.
14、Taha Abbas Bin Rashid, Li‐Tao Zhu*, Zheng-Hong Luo*, Effect of granular properties on hydrodynamics in coarse-grid riser flow simulation of Geldart A and B particles. Powder Technol., 2020, 359: 126-144.
13、Taha Abbas Bin Rashid, Li‐Tao Zhu*, Zheng-Hong Luo*, Comparative analysis of numerically derived drag models for development of bed expansion ratio correlation in a bubbling fluidized bed. Adv. Powder Technol., 2020, 31, 2723-2732.
12、Li-Tao Zhu, Yuan-Xing Liu, Jia-Xun Tang, Zheng-Hong Luo*, A material-property-dependent sub-grid drag model for coarse-grained simulation of 3D large-scale CFB risers. Chem. Eng. Sci., 2019, 204, 228.
11、Li-Tao Zhu, Taha Abbas Bin Rashid, Zheng-Hong Luo*, Comprehensive validation analysis of sub-grid drag and wall corrections for coarse-grid two-fluid modeling. Chem. Eng. Sci., 2019, 196, 478-492.
10、Li-Tao Zhu, Yuan-Xing Liu, Zheng-Hong Luo*, An enhanced correlation for gas-particle heat and mass transfer in packed and fluidized bed reactors. Chem. Eng. J., 2019, 374, 531-544.
9、Yuan-Xing Liu, Li‐Tao Zhu*, Zheng-Hong Luo, Jia-Xun Tang, Effect of spatial radiation distribution on photocatalytic oxidation of methylene blue in gas-liquid-solid mini-fluidized beds. Chem. Eng. J., 2019, 370, 1154-1168.
8、Li-Tao Zhu, Yuan-Xing Liu, Zheng-Hong Luo*, An effective three-marker drag model via sub-grid modeling for turbulent fluidization. Chem. Eng. Sci., 2018, 192, 759-773.
7、Li-Tao Zhu, Wang-Yu Ma, Zheng-Hong Luo*, Influence of distributed pore size and porosity on MTO catalyst particle performance: Modeling and simulation. Chem. Eng. Res. Des., 2018,137, 141-153.
6、Li-Tao Zhu, Hui Pan, Yuanhai Su, Zheng-Hong Luo*, Effect of particle polydispersity on flow and reaction behaviors of methanol to olefins fluidized bed reactors. Ind. Eng. Chem. Res., 2017, 56, 1090-1102.
5、Li-Tao Zhu, Le Xie, Jie Xiao, Zheng-Hong Luo*, Filtered model for the cold-model gas-solid flow in a large-scale MTO fluidized bed reactor. Chem. Eng. Sci., 2016, 143, 369-383.
4、Li-Tao Zhu, Mao Ye, Zheng-Hong Luo*, Application of filtered model for reacting gas-solid flows and optimization in a large-scale methanol-to-olefin fluidized-bed reactor. Ind. Eng. Chem. Res., 2016, 55, 11887-11899.
3、Li-Tao Zhu, Fei Xu, Hui Jin, Qingang Xiong*. Multiphase flow in energy studies and applications—A special issue for MTCUE-2022. Phys. Fluid., 2023, 35(7), 070401.
2、朱礼涛, 欧阳博, 张希宝, 罗正鸿*. 机器学习在多相反应器中的应用进展. 化工进展, 2021, 40(4), 1699-1714.
1、朱礼涛, 罗正鸿*. 磁共振成像应用于多相流体动力学研究进展. 化工学报, 2018, 69(9), 3765-3773.