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(xué)，化工自動化專業(yè)，博士

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

                    1991-1995，太原理工大學(xué)，控制理論工程專業(yè)，學(xué)士

工作經(jīng)歷：2004-2019，華東理工大學(xué)化工學(xué)院，講師、副教授

                    2015-2016，美國佐治亞理工學(xué)院，訪問學(xué)者

                    2003-2004，中國礦業(yè)大學(xué)（北京）化學(xué)與環(huán)境學(xué)院，講師

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

                    1995-1997，中國聯(lián)通，技術(shù)員

研究方向：

1．炭材料的制備及應(yīng)用

2．炭材料智能化設(shè)計(jì)

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(xiàng)目

2017.1-2019.12，軍工項(xiàng)目

2014.9－2016.9，上海市科委“載人空間站系統(tǒng)用高性能球形活性炭的研制”技術(shù)負(fù)責(zé)

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

2012.8－2013.8，北京機(jī)械設(shè)備研究所“活性微球炭的制備”

2012.1－2015.12，國家自然科學(xué)基金“球形活性炭/聚乙烯醇膜復(fù)合材料超深度脫除柴油中含硫化合物的吸附動力學(xué)選擇性研究”技術(shù)負(fù)責(zé)