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张永金

发布人:    发布时间:2013-12-02    【打印此页】

  

        张永金,男,河南商城人,理学博士,副教授,bat365在线平台网站教师。联系方式:zhyj@hpu.edu.cn,zhangy_j@hotmail.com. 

 教育经历:

        2011.9-2016.6,博士,德国马普所(马普学会复杂技术系统动力学研究所,马格德堡),马格德堡大学;博士论文:Model Order Reduction for Parameterized Nonlinear Evolution Equations,导师:Prof. Dr. Peter Benner & Dr. Lihong Feng;

        2008.9-2011.7,硕士,首都师范大学;硕士论文:An adaptive GRP scheme for compressible  fluid flows on unstructured meshes,导师:李杰权教授;

        1998.9-2002.7,学士,河南师范大学。

研究兴趣:

        模型降价(Model Order Reduction),计算流体力学(Computational Fluid Dynamics)

近期代表性作品:

        1.Y. Zhang, L. Feng, A. Seidel-Morgenstein and P. Benner, Accelerating optimization and uncertainty quantification of nonlinear SMB chromatography using reduced-order models, Computers & Chemical Engineering, 96(2017),pp. 237-247.

         2.Y. Zhang, L. Feng, S. Li and P. Benner, An efficient output error estimation for model order reduction of parametrized evolution equations, SIAM Journal on Scientific Computing, 37 (2015), pp. B910-B936.

        3.Y. Zhang, L. Feng, S. Li and P. Benner, Accelerating PDE constrained optimization by the reduced basis method: application to batch chromatography, International Journal for Numerical Methods in Engineering, 104 (2015), pp. 983-1007.

        4.J. Li, Y. Zhang, The adaptive GRP scheme for compressible fluid flows over unstructured meshes, Journal of Computational Physics, 242 (2013), pp. 367-386.

        5.P. Benner, L. Feng, S. Li, Y. Zhang*, Reduced-order modeling and ROM-based optimization of batch chromatography, in Numerical Mathematics and Advanced Applications-ENUMATH 2013, A. Abdulle, S. Deparis, D. Kressner, F. Nobile, and M. Picasso, eds., vol. 103 ofLecture Notes in Computational Science and Engineering, Springer, 2015, pp. 427-435.

        6.Y. Zhang, L. Feng, S. Li and P. Benner, A New Error Estimation for Model Order Reduction of Parametrized Evolution Equations. Mathematical Modelling --- IFAC-PapersOnLine, 8(1), 2015, pp. 9-10.

 学术活动(报告或海报):

        1.An adaptive technique for snapshot selection during model reduction for parameterized evolution equations (Talk),Reduced Basis Summer School 2012,August 28 - 31,2012; Stuttgart (Germany)

        2.Reduced order modeling and ROM-based optimization of batch chromatography (Poster),CIRM workshop Model Reduction and Approximation for Complex Systems June 10 - 14, 2013; Marseille (France)

        3.Reduced-order modeling and ROM-based optimization of batch chromatography(Talk), European conference on Numerical Mathematics and Advanced Applications - ENUMATH2013,August 26 – 30,2013; Lausanne, (Switzerland)

        4.A reduced basis method and ROM-based optimization of batch chromatography(Talk),,Workshop on Model Reduction of Complex Dynamical Systems- ModRed 2013, December 11 - 13, 2013; Magdeburg (Germany)

        5.A New Error Estimation for Model Order Reduction of Parametrized Evolution Equations (Invited talk),8th Vienna International Conference on Mathematical Modelling – MATHMOD,February 18 - 20, 2015; Vienna (Austria)

        6.Accelerating optimization and uncertainty quantification of nonlinear SMB chromatography using reduced-order models (Invited talk),2016 Sino-German Symposium“Modeling , Model Reduction and Optimization of Flows”, September 26-30, 2016, 中国上海

        7.Fast Simulation of Multicomponent Flows using Model Order Reduction (Invited talk),International conference on numerical simulation for multimaterial and multiphysics flows,July 3–7, 2017,中国北京

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