楊榛
發布時間：2019-01-07   訪問次數:9708   作者:

姓名：楊榛

職稱：副教授

電話：021- 64252480

電子郵件：yangzhen@ecust.edu.cn


教育背景：2005-2009，華東理工大學，化工自動化專業，博士

                    2000-2003，中國礦業大學（北京），化學工程專業，碩士

                    1991-1995，太原理工大學，控制理論工程專業，學士


工作經曆：2004-2019，華東理工大學化工學院，講師、副教授

                    2015-2016，美國佐治亞理工學院，訪問學者

                    2003-2004，中國礦業大學（北京）化學與環境學院，講師

                    1997-2000，太原煤炭氣化總公司，工程師

                    1995-1997，中國聯通，技術員



研究方向：

1．炭材料的制備及應用

2．炭材料智能化設計

  

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.



代表性項目

2017.1-2019.12，軍工項目

2014.9－2016.9，上海市科委“載人空間站系統用高性能球形活性炭的研制”技術負責

2013.1－2013.12，山西新華化工有限責任公司“球形炭質催化劑載體的研制”

2012.8－2013.8，北京機械設備研究所“活性微球炭的制備”

2012.1－2015.12，國家自然科學基金“球形活性炭/聚乙烯醇膜複合材料超深度脫除柴油中含硫化合物的吸附動力學選擇性研究”技術負責
 
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