闫方友

副教授，博士生导师

所属系部：化工系

办公电话：+86-22-60600046

办公地点：泰达中校区8号楼B-417  

Email： yanfangyou@tust.edu.cn; yanfangyou0@126.com

个人简介

闫方友，男，副教授，博士生导师。从事构效关系、分子智能设计、机器学习等方面研究工作。主持国家自然科学基金和天津市自然科学基金等科研项目10余项。化工领域主流期刊发表SCI论文60余篇，其中以第一/通讯作者发表论文50余篇，包括传统化工三大刊 20 篇，其中AIChE. J. 1篇、Chem. Eng. Sci. 13篇、Ind. Eng. Chem. Res. 6篇， J. Chem. Inf. Model.、Small、Macromolecules、Green Energy Environ.、ACS Sustain. Chem. Eng.、Chem. Eng. J.等其它论文30余篇。Macromolecules、J. Chem. Inf. Model.和Ind. Eng. Chem. Res.5篇论文选为封面文章，离子液体对乙酰胆碱酶毒性估算的文章(J. Chem. Eng. Data 2012, 57: 2252-2257)在ACS官方主页上作为热点文章向同行推荐。担任中国化工学会信息技术应用专业委员会青年委员。

研究方向

1 构效关系。定量构效关系与基团贡献法在离子液体、高分子材料、药物、基本有机物、纳米材料、环境污染物、MOF、COF等新材料性质计算中的应用。

2 分子智能设计。开发新材料智能设计方法，实现性能驱动的离子液体、MOF、催化剂、高分子等新材料智能设计，代替传统经验定性设计材料的方法。

招生专业

化学工程与技术博士研究生；

化学工程与技术学术型硕士研究生；

材料与化工专业型硕士研究生；

环境工程专业学术型、专业型硕士研究生。

科研项目

1．国家自然科学基金面上项目，2023/01-2026/12,主持.

2．国家自然科学基金青年项目， 2019/01-2021/12,主持.

3．国家自然科学基金面上项目， 2017/01-2020/12，第二参与者.

4．天津自然科学基金青年项目， 2019/04-2022/3，主持.

代表性论文

[1] Xiaoying He, Mengxian Yu, Jian-Peng Han, Jie Jiang, Qingzhu Jia, Qiang Wang, Zheng-Hong Luo, Fangyou Yan*, Yin-Ning Zhou*. Leveraging data-driven strategy for accelerating the discovery of polyesters with targeted glass transition temperatures. AIChE Journal. 2024; 10.1002/aic.18409

[2] Haoren Niu, Yumiao Zhang, Qingzhu Jia, Qiang Wang, Fangyou Yan*. Property estimation of organic compounds based on QSPR models with norm indices. Chemical Engineering Science. 2024; 288: 119835.

[3] Haoren Niu, Jianzheng Wang, Qingzhu Jia, Qiang Wang, Jin Zhao*, Fangyou Yan*. QSPR models for complexation performance of α-cyclodextrin and β-cyclodextrin complexes by norm indices. Chemical Engineering Science. 2024;284:119484.

[4] Xiaojie Feng, Dongdong Cao, Qiang Wang, Qingzhu Jia, Fangyou Yan*. Atomic connectivity group contribution method for predicting the boiling and melting points of organic compounds. Chemical Engineering Science. 2023;282:119357.

[5] Fangyou Yan, Dongdong Cao, Xiaojie Feng, Jialiang Xiong, Qiang Wang, Qingzhu Jia*, Shuqian Xia*. Atomic connectivity group contribution (ACGC) method for critical properties prediction. Chemical Engineering Science. 2023;280:118990.

[6] Xiao Liu, Yu Gu, Mengxian Yu, Qingzhu Jia, Yin-Ning Zhou, Fangyou Yan*, and Qiang Wang. Norm Indices-Driven Robust QSPR Model for Mining Temperature-Dependent Properties of Ionic Liquids. ACS Sustainable Chemistry & Engineering. 2023;11(26): 13429-13440.

[7] Mengxian Yu, Yajuan Shi, Xiao Liu, Qingzhu Jia, Qiang Wang, Zheng-Hong Luo, Fangyou Yan*, Yin-Ning Zhou*. Quantitative structure-property relationship (QSPR) framework assists in rapid mining of highly Thermostable polyimides. Chemical Engineering Journal. 2023;465:142768.

[8] Feng-Dong Wang, Li-Juan Yang, Xin-Xin Wang, Yi Rong, Li-Bin Yang, Chen-Xi Zhang*, Fang-You Yan*, Qing-Lun Wang, Pyrazine-Functionalized Donor–Acceptor Covalent Organic Frameworks for Enhanced Photocatalytic H₂ Evolution with High Proton Transport. Small. 2023;19(23):2207421.

[9] Mengxian Yu, Yajuan Shi, Qingzhu Jia, Qiang Wang, Zheng-Hong Luo, Fangyou Yan*, Yin-Ning Zhou*, Ring Repeating Unit: An Upgraded Structure Representation of Linear Condensation Polymers for Property Prediction, Journal of Chemical Information and Modeling, 2023, 63 (4), 1177–1187. (Front Cover)

[10] Yajuan Shi, Mengxian Yu, Jie Liu, Fangyou Yan*, Zheng-Hong Luo, Yin-Ning Zhou*, Quantitative Structure−Property Relationship Model for Predicting the Propagation Rate Coefficient in Free-Radical Polymerization, Macromolecules, 2022, 55, 9397-9410. (Front Cover)