电话：64355111-6586
邮箱：sjtu_zlt@sjtu.edu.cn
办公地点：剑川路665号2017.04-2021.03 上海交通大学 化学工程与技术 博士
2014.09-2017.03 上海交通大学 化学工程 硕士
2010.09-2014.06 大连理工大学 化学工程 本科
2024.07-至今 上海交通大学 yl88858永利集团 长聘教轨副教授
2024.03-2024.06 英国帝国理工学院 过程系统工程中心 博士后（合作导师: Claire Adjiman, 美国、英国工程院院士）
2023.01-2024.02 德国帕德博恩大学 流体过程工程所 访问博后（合作导师: Eugeny Kenig 讲席教授）
2021.09-2023.12 上海交通大学 化学化工学院 博士后（合作导师: 罗正鸿教授 国家杰青）
聚焦新能源与传统能源化工过程研究，助力能源化工过程装备及工艺技术开发，具体研究方向如下：
1、多相流反应器工程（多相流反应器设计与放大，多相流装置优化设计）
2、多尺度智能计算与优化（计算流体力学、介科学、AI/大模型、数字孪生、多目标优化）
3、碳资源催化反应工程（CO2与废弃塑料制绿色燃料与高值化学品）
4、新能源装备与工艺优化设计（新能源燃料电池/电解槽优化设计及热管理；工艺优化设计）
个人学术主页：低碳能源与智能化工
"AI+能源" 微课 《能源大数据处理与分析》，2026春季学期，32学时
7、宁德时代，企业委托项目，主持
6、上海市华谊集团，企业委托项目，主持
5、国重实验室开放基金项目，主持
4、国家自然科学基金面上项目，主持
3、上海市浦江人才计划项目，主持
2、上海交通大学双一流科研启动基金项目，主持
1、国家自然科学基金青年基金(C类)项目，主持
加入学院后：
13、机器学习+多尺度CFD-DEM模拟初步总结与分析：Lianyong Zhou (周连勇), Xizhong Chen, Anthony Wachs, Xiaofan Zheng, Ling Qin, Hongji Lu, Qingang Xiong, Yongzhi Zhao, Zhen Huang, Zheng-Hong Luo*, Li-Tao Zhu*, Multiscale CFD-DEM simulations in the era of machine learning: Recent advancements, opportunities, and challenges. Engineering，2026, Major revision.
12、提示词工程及大模型微调赋能反应器多目标推理优化：Shuo Shi (时硕), Jie Huang, Ling Qin, Daolin Chen, Lianyong Zhou, Hui Pan*, Li-Tao Zhu*, Chemical reactor optimization leveraging distilled LLM enhanced by prompt design and fine-tuning strategy. Chemical Engineering Journal, 2026, Major revision.
11、大语言模型赋能CFD自动预测建模、优化及调度执行：Pei-Zhong Ma (马培中), Guodong Gai, Jiankun Li*, Zheng-Hong Luo*, Li-Tao Zhu*. Large language models for automating computational fluid dynamics (CFD): From predictive modeling and optimization to execution scheduling. Smart Chemical Engineering, 2026, 2(1), 3. (封面) 文章链接
10、一种适用于气固流化床系统宽网格/非球颗粒比的双支持域CFD-DEM耦合方法：Lianyong Zhou (周连勇), Ling Qin, Guochang Wang, Chao Xu, Zihan Liu, Yongzhi Zhao, Li-Tao Zhu*，A dual support domain method for nonsphere-fluid flows under wide grid-to-particle size ratio: Experiments and CFD-DEM simulations. Chemical Engineering Journal, 2026, 534, 174654. 文章链接
9、机器学习和CFD模拟辅助流化床聚烯烃热解反应器性能分析与优化：Ling Qin (覃岭), Lianyong Zhou, Zhongmei Li, He Lei*, Li-Tao Zhu*. CFD analysis of operating parameters and machine learning-aided optimization of reactor performance in a polyethylene pyrolysis fluidized bed. Fuel, 2026, 421, 138977. 文章链接
8、流化床气固两相流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, 108, 41-53. 文章链接
7、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, 2026, 20(3), 19. 文章链接
6、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, 2026, 225, 102-111. 文章链接
5、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. 文章链接
4、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. 文章链接
3、颗粒解析CFD模拟固定床及压降关联式构建：Ling Qin, 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, 2025, 319, 122245. 文章链接
2、大数据和AI助力能源催化剂智能设计：Zheng, X., Yang, J., Zhou, L., Qin, L., Lu, C., Alonso-Vante, N., Huang Z., Zhang P., Zhou Y.N., Luo Z.H.*, Zhu L.T.*, Big data-driven machine learning transformation for atomic-scale heterogeneous catalyst design: a critical review. Chemical Engineering Science, 2025, 121740. 文章链接
1、串联反应器建模与分析：Yang Y.N., Han J.P., Ma Y.P., Zhu L.T.*, Zhou Y.N.*, Luo Z.H.*. Modeling and analysis of polypropylene copolymer properties and pressure stability for integrated tubular loop reactor and MZCR. Chemical Engineering Science, 2024, 120657.
加入学院前：
1、Zhu L.T., Kenig E., A study of methanol-to-olefins packed bed reactor performance using particle-resolved CFD and machine learning. AIChE J., 2024.
2、Zhu L.T., Wachs A., Interpolation of probability-driven model to predict hydrodynamic forces and torques in particle-laden flows. AIChE J., 2023, 69(11), e18209.
3、Zhu L.T., Lei H., Ouyang B., Luo Z.H., 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.
4、Zhu L.T., Chen X.Z., Ouyang B., Yan W.C., Lei H., Chen Z., Luo Z.H., 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)
5、Zhu L.T., Ouyang B., Lei H., Luo Z.H., 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)
6、Zhu L.T., Tang J.X., Luo Z.H., Machine learning to assist filtered two-fluid model development for dense gas-particle flows. AIChE J., 2020, 66(6), e16973.
7、Zhu L.T., Chen, X.Z., Luo, Z.H., Analysis and development of homogeneous drag closure for filtered mesoscale modeling of fluidized gas-particle flows. Chem. Eng. Sci., 2021, 229, 116147.
8、Zhu L.T., Yang, Y.N., Pan, D.T., Luo, Z.H., Capability assessment of coarse-grid simulation of gas-particle riser flow using sub-grid drag closures. Chem. Eng. Sci., 2020, 213, 115410.
9、Zhu L.T., Liu Y.X., Tang J.X., Luo Z.H., A material-property-dependent sub-grid drag model for coarse-grained simulation of 3D large-scale CFB risers. Chem. Eng. Sci., 2019, 204, 228.
10、Zhu L.T., Rashid T.A.B., Luo Z.H., Comprehensive validation analysis of sub-grid drag and wall corrections for coarse-grid two-fluid modeling. Chem. Eng. Sci., 2019, 196, 478-492.
11、Zhu L.T., Y.X. Liu, Luo Z.H., An enhanced correlation for gas-particle heat and mass transfer in packed and fluidized bed reactors. Chem. Eng. J., 2019, 374, 531-544.
12、Zhu L.T., Liu Y.X., Luo Z.H., An effective three-marker drag model via sub-grid modeling for turbulent fluidization. Chem. Eng. Sci., 2018, 192, 759-773.
13、Zhu L.T., Xie L., Xiao J., Luo Z.H., Filtered model for the cold-model gas-solid flow in a large-scale MTO fluidized bed reactor. Chem. Eng. Sci., 2016, 143, 369-383.
14、Zhu L.T., Pan H., Su Y.H., Luo Z.H., Effect of particle polydispersity on flow and reaction behaviors of methanol to olefins fluidized bed reactors. Ind. Eng. Chem. Res., 2017, 56, 1090-1102.
15、Zhu L.T., Ye M., Luo Z.H., 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.
加入智慧能源学院之后
11、一种流化床流型智能识别软件[SmartFBRR] V1.0，软著，已提交
10、一种硅/石墨烯复合纤维及其制备方法和应用，发明专利，申请号：CN202511660278.6
9、 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，软著，登记号：2025SR2216251
8、 基于Transformer模型的多元合金催化剂智能设计软件V1.0，软著，登记号：2025SR2215364
加入智慧能源学院之前
7、 聚丙烯Spherizone工艺产品性能预测软件, 软著，登记号：2024SR2106962.
6、一种聚烯烃弹性体的溶液聚合方法，CN202410226576.3
5、分支型内构件及流化床反应器，ZL202110481299.7
4、流道结构性能优化模型的训练方法及装置、优化方法、介质及终端，CN202311314449.0
3、一种生产聚烯烃的溶液聚合方法，ZL202210945593.3
2、聚烯烃生产装置及调控方法，CN202311076191.5
1、一种生产聚烯烃弹性体的聚合装置和方法，CN115894747A
《聚烯烃制造中工艺建模、先进控制及数据分析》中第10章，入选中国石化出版社“年度好书”
1、中国化工学会过程模拟及仿真专业委员会青年委员
2、Ind Eng Chem Res及Physics of Fluids等主流期刊的客座编委
3、Chem Eng Sci、Chem Eng J、Inter J Heat Mass Trans、Energy、Energy Convers Manage、Particuology（杰出审稿人奖3次）、Phys Fluids等50余本SCI期刊审稿人
4、The World Conference on Multiphase Transportation, Conversion & Utilization of Energy等国际会议的分会主席
1、"Machine learning and data science in chemical engineering" in the Birmingham International Young Scholars Forum. May 31, 2024. Invited presentation.
2、"Data-driven analytics to inform forces and torques in particle-laden flows" in the World Conference on Multiphase Transportation, Conversion & Utilization of Energy (MTCUE-2022). July 27-31, 2022. Keynote Lectures.
3、"Machine learning for mesoscale modeling of gas-solid fluidization" in the Young Scientist Seminars, UK-China International Particle Technology Forum VIII (PTF8) (Online). July 12, 2021. Oral presentation.
4、"Development of mesoscale models for gas-solid fluidized bed reactors" in the Second National Conference on Process Modeling and Simulation (Online). July 16, 2020. Oral presentation (Excellent Presentation Award).
5、"Subgrid interphase constitutive model in gas-particle fluidized bed reactors" in 2019 Shanghai Chemical Engineering Excellent Doctoral Forum. December 15, 2019. Invited presentation.
上海市白玉兰人才计划
德国洪堡学者
京博科技奖——京博优秀博士铜奖（中国化学会及京博集团联合主办）
国家博新计划
中国化工学会科学技术奖（基础研究类）一等奖（R2）
中国颗粒学会优秀博士学位论文奖
中国石油和化学工业联合会CPCIF- Clariant可持续发展青年创新奖
上海交通大学优秀博士毕业生发展奖学金
上海市优秀毕业生
博士生国家奖学金
1、本小组氛围：勤奋踏实、团结进取、开放务实、锐意创新，发展学术研究兴趣，提供完整的科研训练过程，希望在组内成长及成才！
2、本小组招聘：常年接收本科(毕设及大创等)、硕士、博士、博后、科研助理、联合培养、访问学者等，竭诚欢迎青年才俊加入，助力国家双碳战略！欢迎感兴趣的老师和同学联系。
3、国际合作：本小组与帝国理工学院等多个课题组保持良好关系，支持组内学生赴国外开展合作研究及参加会议，助力优秀学生申请国内外知名奖学金。
4、人才培养：
2025“国家电投杯”第一届全国“AI+能源”大学生科技竞赛一等奖（胡涛，陈道林 ，本科生AI+能源科学研究）
2025 周连勇 上海市超级博士后激励计划
2025 郑晓帆 “思源博士后”引才计划、国家级博士后人才计划
欢迎具有化学工程、流体力学、自动化、工程热物理、能源与动力工程等学科背景的学生、青年才俊加入！
