王强
教授，硕士生导师
所属系部：化工系
办公电话：+86-
办公地点：泰达中校区8号楼B-417
Email：wang_q@tust.edu.cn
个人简介教育经历：
2002/3 - 2006/8，天津大学，化学工艺，博士，导师：马沛生
1997/9 - 2000/3，天津轻工业学院，制浆造纸，硕士，导师：胡开堂
1979/9 - 1983/7，成都科技大学，理论化学专门化，学士
工作经历：
1995/12 - 至今，天津科技大学，化学与材料学院，教授
1983/7 - 1995/12，天津职工化工学院，基础部
研究方向从事化工热力学、化工分离过程、化工计算、化工数据和环境化学等方面研究工作。
1提出并建立了定位分布贡献理论。本理论完全、彻底的解决了50多年来物性计算领域有机物同分异构体无法分辨的世界性难题; 并且定位分布贡献理论成功的将有机物的临界温度、临界压力、临界体积、临界压缩因子、偏心因子、沸点、熔点、闪点、蒸发焓和熔化焓等性质，用一个完全相同的广义定位分布贡献函数表示，具有完全的广义性、稳定性和准确性。统一了基于基团贡献思想所建立、衍化出来的对于有机物热力学性质估算的所有计算方法及理论。
2提出范数描述符并成功用于定量构效关系模型。范数描述符由分子特征矩阵计算得到。分子特征矩阵由两部分构成：欧氏空间距离矩阵和增广矩阵。欧氏空间距离矩阵用来描述各个原子在分子中的空间位置。增广矩阵是对应距离矩阵建立起来的针对各个原子的特征识别矩阵。范数描述符具有广义性，已成功应用于药物活性、毒性数据预测，离子液体物性、毒性预测，有机物基本性质估算。
学术成果代表性论著及专利：
1.Wensi He, Fangyou Yan*, Qingzhu Jia, Shuqian Xia, and Qiang Wang. Prediction of ionic liquids viscosity at variable temperatures and pressures. Chemical Engineering Science, 2018, 184: 134-140
2.Wensi He, Fangyou Yan*, Qingzhu Jia, Shuqian Xia, and Qiang Wang. QSAR models for describing the toxicological e?ects of ILs against Staphylococcus aureus based on norm indexes. Chemosphere 2018, 195: 831-838
3.Fangyou Yan, Wensi He, Qingzhu Jia, Shuqian Xia, and Qiang Wang*. QSAR models for describing the toxicological e?ects of ILs against Candida albicans based on norm indexes. Chemosphere 2018, 195:831-838
4.Yali Wang, Fangyou Yan, Qingzhu Jia, and Qiang Wang*. Quantitative structure-property relationship for critical micelles concentration of sugar-based surfactants using norm indexes. Journal of Molecular Liquids 2018,253, 205-210
5.Wensi He, Fangyou Yan*, Qingzhu Jia, Shuqian Xia, and Qiang Wang. Description of the thermal conductivity λ(T, P) of ionic liquids using structure property relationship method. Journal of Chemical & Engineering Data 2017, 62 (8): 2466-2472
6.Yali Wang, Fangyou Yan, Qingzhu Jia, Qiang Wang*, Assessment for multi-endpoint values of carbon nanotubes: Quantitative nanostructure-property relationship modeling with norm indexes. Journal of Molecular Liquids, 2017, 248: 399-405
7.Yali Wang, Fangyou Yan, Qingzhu Jia, Qiang Wang*, Quantitative structure-activity relationship of anti-HIV Integrase and Reverse Transcriptase Inhibitors using norm index. SAR and QSAR in Environmental Research (GSAR), 2017, 28(12): 1025-1044
8.Qingzhu Jia, Ying Liu, Fangyou Yan, Qiang Wang*, Predicting the activity of hydroxamic acid analogues. Molecular Simulation, 2017, 43: 1026-1033
9.Jingchen Yin, Qingzhu Jia*, Fangyou Yan, Qiang Wang, Predicting heat capacity of gas for diverse organic compounds at different temperatures. Fluid Phase Equilibria, 2017, 446: 1-8
10.Fangyou Yan, Hao Wu, Wei Li, Jinli Zhang*. Simultaneous optimization of heat-integrated water networks by a nonlinear program. Chemical Engineering Science, 2016, 140 : 76–89
11.Lei Li, Fangyou Yan, Xiangying Xu, Qingzhu Jia, Qiang Wang*, and Peisheng Ma, A QSAR Model for Predicting the Anti HIV-1 Activity of TIBO Derivatives Using the Norm Indexes, Bulletin of the Korean Chemical Society, 2016,37(6): 923-930
12.Xiangying Xu, Lei Li, Fangyou Yan, Qingzhu Jia, Qiang Wang*, and Peisheng Ma, Predicting solubility of fullerene C60 in diverse organic solvents using norm indexes. Journal of Molecular Liquids, 2016, 223:603-610
13.Fangyou Yan, Qiaoyan Shang, Shuqian Xia, Qiang Wang*, and Peisheng Ma. Topological Study on the Toxicity of Ionic Liquids on Vibrio fischeri by the Quantitative Structure-Activity Relationship Method. Journal of Hazardous Materials, 2015, 286 , 410-415
14.Fangyou Yan, Qiaoyan Shang, Shuqian Xia, Qiang Wang*, and Peisheng Ma. Predicting the Densities of Ionic Liquids by the Quantitative Structure Property Relationship Method Using a Topological Index. Journal of Chemical & Engineering Data, 2015, 60, 734-739
15.Wang, Qiang(*)，Jia, Qingzhu，Yan, Lihong，Xia, Shuqian，Ma, Peisheng，Quantitative structure-toxicity relationship of the aquatic toxicity for various narcotic pollutants using the norm indexes，Chemosphere，2014，108：383-387
16.Zhu Zhi-Chen，Wang Qiang(*)，Jia Qing-Zhu，Xia Shu-Qian，Ma Pei-Sheng，Structure-Property Relationship for the Pharmacological and Toxicological Activity of Heterocyclic Compounds，Acta Physico – Chimica Sinica，2014，30（6）：1086.
17.Qiaoyan Shang, Fangyou Yan, Shuqian Xia, Qiang Wang*, and Peisheng Ma. Predicting the Surface Tensions of Ionic Liquids by the Quantitative Structure Property Relationship Method Using a Topological Index. Chemical Engineering Science, 2013, 101, 266-270
18.Fangyou Yan, Shuqian Xia, Qiang Wang*, and Peisheng Ma. Predicting the melting points of ionic liquids by the Quantitative Structure Property Relationship method using a topological index. Journal of Chemical Thermodynamics, 2013, 62, 196-200
19.Fangyou Yan, Shuqian Xia, Qiang Wang*, and Peisheng Ma. Predicting the glass transition temperature of ionic liquids by the quantitative structure property relationship method using a topological index. Fluid Phase Equilibria, 2013, 358, 166-171
20.Zhu Zhi-Chen，Wang Qiang(*)，Jia Qing-Zhu，Tang Hong-Mei，Ma Pei-Sheng， Quantitative Structure-Property Relationship of the Critical Micelle Concentration of Different Classes of Surfactants，Acta Physico – Chimica Sinica，2013，29（1）：30-34
21.Fangyou Yan, Shuqian Xia, Qiang Wang*, and Peisheng Ma. Predicting the Toxicity of Ionic Liquids in Leukemia Rat Cell Line by the Quantitative Structure-Activity Relationship Method Using Topological Indexes. Industrial & Engineering Chemistry Research 2012, 51, 13897-13901
22.Wang, Qiang(*)，Jia, Qingzhu，Ma, Peisheng，Prediction of the Acentric Factor of Organic Compounds with the Positional Distributive Contribution Method，Journal of Chemical and Engineering Data，2012，57（1）：169-189
23.Fangyou Yan, Shuqian Xia, Qiang Wang*, and Peisheng Ma. Predicting the decomposition temperature of ionic liquids by the quantitative structure-property relationship method using a new topological index. Journal of Chemical & Engineering Data 2012, 57, 805-810
24.Fangyou Yan, Shuqian Xia, Qiang Wang*, and Peisheng Ma. Predicting toxicity of ionic liquids in acetylcholinesterase enzyme by the Quantitative Structure-Activity Relationship method using topological indexes. Journal of Chemical & Engineering Data 2012, 57, 2252-2257
25.Qingzhu Jia, Qiang Wang*, Peisheng Ma, Shuqian Xia, Fangyou Yan, and Hongmei Tang. Prediction of the Flash Point Temperature of Organic Compounds with the Positional Distributive Contribution Method. Journal of Chemical & Engineering Data, 2012, 57, 3357-3367
26.Wang Qiang*,Jia Qingzhu,Ma Peisheng,Prediction of the Acentric Factor of Organic Compounds with the Positional Distributive Contribution Method, Journal of Chemical & Engineering Data, 2012, 57, 169-189
27.Jia Qingzhu,Wang Qiang*,Ma Peisheng,Positional Distributive Contribution Method for the Prediction of the Normal Boiling Vaporization Enthalpy of Organic Compounds, Journal of Chemical & Engineering Data 2010,(55),5614–5620
28.Wang Qiang*,Jia Qingzhu,Ma Peisheng,Position Group Contribution Method for the Prediction of the Critical Compressibility Factor of Organic Compounds, Journal of Chemical & Engineering Data 2009(54),1916–1922
29.Wang Qiang*,Ma Peisheng，Nai Shifeng，Position Group Contribution Method for Predicting the Melting Point of Organic Compounds，Chinese Journal of Chemical Engineering，2009(17),468-472
30.Wang Qiang*,Ma Peisheng, Position Group Contribution Method for Predicting the Normal Boiling Point of Organic Compounds，Chinese Journal of Chemical Engineering,2009(17),254-258
31.Wang Qiang, Ma Peisheng, Jia Qingzhu, Position Group Contribution Method for the Prediction of Critical Temperatures of Organic Compounds, Journal of Chemical & Engineering Data 2008(53), 1103-1109
32.Wang Qiang,Jia Qingzhu,Ma Peisheng,Position Group Contribution Method for the Prediction of Critical Pressure of Organic Compounds, Journal of Chemical & Engineering Data 2008(53),1877-1885
33.Jia Qingzhu,Wang Qiang*,Ma Peisheng,Position Group Contribution Method for the Prediction of Critical Volume of Organic Compounds, Journal of Chemical & Engineering Data 2008(53),2606-2612