姓名：杨榛

职称：副教授

电话：021- 64252480

电子邮件：yangzhen@ecust.edu.cn


教育背景：2005-2009，华东理工大学，化工自动化专业，博士

                    2000-2003，中国矿业大学（北京），化学工程专业，硕士

                    1991-1995，太原理工大学，控制理论工程专业，学士

工作经历：2004-2019，华东理工大学化工学院，讲师、副教授

                    2015-2016，美国佐治亚理工学院，访问学者

                    2003-2004，中国矿业大学（北京）化学与环境学院，讲师

                    1997-2000，太原煤炭气化总公司，工程师

                    1995-1997，中国联通，技术员

研究方向：

1．炭材料的制备及应用

2．炭材料智能化设计

代表性著作：

1. Z. Yang, X.S. Gu, C.J. Ling, X.Y. Liang, Computational and experimental approaches for investigating membranes diffusion behavior in model diesel fuel. Journal of Mathematical Chemistry,2018,56:2724–2740.

2. Z. Yang, Y.Lin,X.S. Gu, X.Y. Liang,Prediction and optimization model of activated carbon double layer capacitors based on improved heuristic approach genetic algorithm neural network.Engineering Computations, 2018,35(4):1625-1638.

3. X.Y. Liang, J.J.Chi,Z. Yang^*,The influence of the functional group on activated carbon for acetone adsorption property by molecular simulation study. Microporous and Mesoporous Materials, 2018,262:77-88.

4. Z. Yang, W. M.Qiao, X.Y. Liang,Prediction and Optimization Modelling of Pore Structure for Carbon Aerogels Based on Artificial Neural Network,New Carbon Material, 2017, 32(1): 77-85.

5. Z. Yang, Q. N.Yu, W.P. Dong, X.S. Gu, W. M.Qiao, X.Y. Liang, Structure control classification and optimization model of hollow carbon nanosphere core polymer particle based on improved differential evolution support vector machine.Applied Mathematical Modelling. 2013,37: 7442–7451.

6. C.J. Ling, X.Y. Liang, F.C. Fan, Z. Yang*.Diffusion behavior of the model diesel components in different polymer membranes by molecular dynamic simulation. Chemical Engineering Science. 2012, 84:292-302.

7. Z. Yang, X. S. Gu, X. Y. Liang. Classification and optimization model of mesoporous carbons pore structure and adsorption properties based on support vector machine. Computer Modeling in Engineering & Sciences. 2011, 1523(1): 1-21.

8. Z. Yang, X.S. Gu, X.Y. Liang,L.C. Ling. Genetic algorithm-least squares support vector regression based predicting and optimizing model on carbon fiber composite integrated conductivity. Materials & Design,2010,31 (3 ): 1042-1049.

代表性项目

2017.1-2019.12，军工项目

2014.9－2016.9，上海市科委“载人空间站系统用高性能球形活性炭的研制”技术负责

2013.1－2013.12，山西新华化工有限责任公司“球形炭质催化剂载体的研制”

2012.8－2013.8，北京机械设备研究所“活性微球炭的制备”

2012.1－2015.12，国家自然科学基金“球形活性炭/聚乙烯醇膜复合材料超深度脱除柴油中含硫化合物的吸附动力学选择性研究”技术负责