yh86银河国际

基本情况

陈政宇，1994年生，讲师，入选yh86银河国际（北京）青年拔尖人才支持计划。主要围绕石油、煤、废塑料等复杂分子体系开展分子层次模型化方法及智能优化研究。主持国家自然科学基金青年科学基金、国家科技重大专项子课题、博士后面上项目等5项。以第一/通讯作者在Nature Communications、化工领域顶级期刊AIChE Journal、Chemical Engineering Science等发表学术论文16篇，出版中文学术专著1部，授权发明专利及软件著作权6项。作为指导教师，指导学生获国家级学科竞赛一等奖2项、二等奖2。

研究方向

l 能源化工智能分子工程

l 复杂分子反应体系模拟与优化

l 化工机制与人工智能的融合建模

工作经历

l 2025.11-至今  yh86银河国际（北京），未来能源学院，讲师

l 2023.11-2025.10 yh86银河国际（北京），理学院，优秀学科博士后

l 2019.07-2020.08 中国成达工程有限公司，工艺开发室，工程师

学习经历

l 2020.09-2023.09 yh86银河国际（北京），化学工程与环境学院，化学工程与技术，博士

l 2016.09-2019.06 yh86银河国际（北京），化学工程与环境学院，化学工程与技术，硕士

l 2012.09-2016.06 西南石油大学，化学化工学院，化学工程与工艺，学士

个人荣誉

l 2025年yh86银河国际（北京）青年拔尖人才

代表性论文：

1. Zhengyu Chen, Yongqing Xie, Chunming Xu, Linzhou Zhang*; Scale-up of Complex Molecular Reaction System by Hybrid Mechanistic Modeling and Deep Transfer Learning, Nature Communications, 2025; 16: 8905.

2. Zhengyu Chen, Gang Wang*, Suoqi Zhao, Linzhou Zhang*; A Molecular Kinetic Model for Heavy Gas Oil Catalytic Pyrolysis to Light Olefins, AIChE Journal, 2023; 69(8): e18116

3. Zhengyu Chen^#, Wenjin Lyu^#, Ruipu Wang, Yuming Li, Chunming Xu, Guiyuan Jiang*, Linzhou Zhang*; A molecular kinetic model incorporating catalyst acidity for hydrocarbon catalytic cracking, AIChE Journal, 2023; 69(7): e18060.

4. Zhengyu Chen, Song Feng, Linzhou Zhang*, Gang Wang, Quan Shi, Zhiming Xu, Suoqi Zhao, Chunming Xu; Molecular-level kinetic modeling of heavy oil fluid catalytic cracking process based on hybrid structural unit and bond-electron matrix, AIChE Journal. 2021; 67(1): e17027.

5. Zhengyu Chen, Falu Dang, Xiangyu Zhao, Jinsen Gao, Chunming Xu, Gang Wang*, Linzhou Zhang*; A molecular-level kinetic model for one-step catalytic conversion of crude oil to light olefins, Chemical Engineering Science. 2025; 316: 121971.

6 Jian Wu, Guoxing Chen, Aiqing Chen, Zhao Gao, Xi Wu, Haiyang Cheng, Yifei Li, Yongchun Wang, Zhiming Qian, Xiaosong Zhang, Chunming Xu, Zhengyu Chen*, Linzhou Zhang*; Molecular-Level modeling of naphtha Continuous catalytic reforming process. Chemical Engineering Science. 2025; 309: 121430.

7. Zhengyu Chen, Yongchun Wang, Yifei Li, Jian Wu, Linzhou Zhang*; Explicit Molecule-based Reaction Network Simplification: Theory and Application on Catalytic Reforming, Chemical Engineering Science. 2023; 277: 118833.

8. Zhengyu Chen, Gang Wang*, Suoqi Zhao, Linzhou Zhang*; Prediction of molecular distribution and temperature profile of FCC process through molecular-level kinetic modeling, Chemical Engineering Science. 2022; 264: 118189.

9. Zhengyu Chen, Dong Guan, Xiaojie Zhang, Ying Zhang, Suoqi Zhao, Quan Shi, Chunming Xu, Linzhou Zhang*; A mass-temperature decoupled discretization strategy for large-scale molecular-level kinetic model. Chemical Engineering Science, 2022; 249: 117348.

10. Zhengyu Chen, Song Feng, Linzhou Zhang*, Quan Shi, Zhiming Xu, Suoqi Zhao*, Chunming Xu; Molecular-level kinetic modelling of fluid catalytic cracking slurry oil hydrotreating. Chemical Engineering Science. 2019; 195:619-630.

11. Zhengyu Chen, Xiangyu Zhao, Jian Wu, Dongyu Xu, Chunming Xu, Linzhou Zhang*; A molecular-level kinetic model for high-effcient aromatic-enriched oil conversion via the catalytic cracking and hydrofning processes. Chemical Engineering Journal, 2024; 500:157127.

12. Zhengyu Chen, Xiangyu Zhao, Jian Wu, Chunming Xu*, Linzhou Zhang*; Recent progress toward molecular-level kinetic model for complex hydrocarbon conversion processes. Chemical Engineering Journal, 2024;487:150462.

13. Zhengyu Chen, Ning Sun, Linzhou Zhang*, Gang Wang*, Suoqi Zhao, Jinsen Gao; Molecular-level modeling for naphtha olefin reduction in FCC subsidiary riser: From laboratory reactor to pilot plant. Chemical Engineering Journal, 2022;437:135429.

14. Yang Zhang, Yaqi Wang, Zhengyu Chen*, Quan Shi, Linzhou Zhang; Molecular conversion of polypropylene pyrolysis revealed by Ag+ complexation ESI Orbitrap MS. Fuel. 2025; 400: 135814.

15. Zhengyu Chen, Xinhui Yao, Dong Guan, Suoqi Zhao, Linzhou Zhang*, Chunming Xu*; Vacuum residue coking process simulation using molecular-level kinetic model coupled with vapor-liquid phase separation, Chinese Journal of Chemical Engineering. 2022;41:301-310.

学术专著：

《石油馏分分子组成模型及性质预测方法》，张霖宙，陈政宇，徐春明，石油工业出版社, 2025, ISBN 978-7-5183-7278-2.

联系方式：

l 电子邮箱：zychen@cup.edu.cn