师资队伍

王强

王强

教授

所属系部:精细化工系

办公电话:+86-22-60600046

办公地点:泰达中校区8号楼B-417   

Email: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. 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(SCI; IF: 4.529,top journal)

2. 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. (SCI; IF: 2.037)

3. 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。(SCI; IF: 3.34,top journal)

4. 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. (SCI; IF: 0.852)

5. Zhen Yang, Shuqian Xia, Qiaoyan Shang, Fangyou Yan, and Peisheng Ma. Isobaric Vapor −Liquid Equilibrium for the Binary System (Ethane-1,2-diol + Butan-1,2-diol) at (20, 30, and 40) kPa. Journal of Chemical & Engineering Data, 2014, 59, 825–831 (SCI; IF: 2.004)

6. 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. (SCI; IF: 2.337,top journal)

7. 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. (SCI; IF: 2.297)

8. 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. (SCI; IF: 2.379)

9. 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。1,SCI

10. 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. (SCI; IF: 2.587,top journal)

11. 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。3,SCI

12. 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. (SCI; IF: 2.037)

13. 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. (SCI; IF: 2.037)

14. 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. (SCI; IF: 2.037)

15. 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. (SCI; IF: 2.037)

16. 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. (SCI; IF: 2.037)

17. 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. (SCI; IF: 2.037)

18. 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. (SCI; IF: 0.920 )

19. 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.(SCI; IF: 0.920 )

20. 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. (SCI; IF: 2.037)

21. 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. (SCI; IF: 2.037)

22. 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.(SCI; IF: 2.037)