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学术报告二则【7月26日】:工程科学讲堂及王仁力学讲座



报告之一:


工程科学讲堂(Engineering Science Seminar Series


报告题目:Computational Modeling of Vesicles in Interaction with Fluid Field and Electric Field


报告人:Prof. Timon Rabczuk

德国国立包豪斯-魏玛大学讲席教授、欧洲科学院院士

  间:726 (周三上午9:00—10:00

  点:澳门十大赌厅网一号楼210会议室

内容简介:

The use of electric fields as an external stimulus has been shown to be an effective technique for engineering vesicle behavior in a wide range of biotechnological applications. Electroporation has been successfully utilized for introducing genes or drugs into cells and cancer treatments. As a powerful cell manipulation method, electric fields have been used in tissue ablation, wound healing, and electroformation and electrofusion of giant vesicles. These important applications have motivated theoretical and computational studies on electrohydrodynamics of vesicles in order to gain a better understanding of the variety of membrane responses under the influence of electric and flow fields. In this talk, the work devoted to developing a robust computational framework using isogeometric analysis and the phase-field method to model the morphological evolution of single- and multi-phase biomembranes will be presented. We developed a three-dimensional isogeometric analysis formulation for the phase-field constrained optimization problem of morphological evolution of vesicles in electrical fields. The effect of the flexoelectricity and the conductivity ratio of the electrolyte on vesicle equilibrium shape were studied through several 3D numerical examples. We captured sphere-oblate and sphere-prolate shape transitions under varying conductivity ratio.

报告人简介

Timon Rabczuk教授,德国国立包豪斯-魏玛大学计算力学讲席教授 (chair professor),欧洲科学与艺术学院院士、欧洲科学院院士、德国洪堡基金会费-吕楠奖获得者,入选“工程”与“计算科学”双领域科睿唯安全球高被引学者。Rabczuk教授主要从事计算力学与先进材料计算设计方向的研究,十多年来Rabczuk 教授课题组培养了30多名来自中国的博士生与博后,先后8人获得了国家级人才计划或洪堡学者等国际人才奖励。 


报告详情下载。


报告之二:

王仁力学讲座

 

报告题目:Multiscale modelling and topological optimization of flexoelectric metastructures

报告人:Prof. Dr. Xiaoying Zhuang (庄晓莹),Chair of Computational Science and Simulation Technology, Heisenberg-ProfessorLeibniz University Hannover, Tongji University

  间:726 (周三上午10:00—11:00

  点:澳门十大赌厅网1号楼210会议室

 

报告人简介:


Dr. Xiaoying Zhuang’s key research area is computational materials design for nano composites, metamaterials and nanostructures as well as computational methods for multiphysics and multiscale modelling. She was awarded with the Sofja-Kovalevskaja Prize  from Alexander von Humboldt Foundation focusing on the modelling and optimization of polymeric nanocomposite. She is the recipient of Heinz-Maier-Leibnitz Prize for young scientists and was granted with Heisenberg-Professor. Her ongoing ERC Grant is devoted to the optimization and multiscale modelling of piezoelectric and flexoelectric nano structures.

 

内容简介:

Flexoelectricity is the generation of electric polarization under mechanical strain gradient or mechanical deformation subjected to an electric gradient (converse-flexo). Flexoelectricity is a more general phenomenon than the linear change in polarization due to stress, the piezoelectric effect. In contrast to piezoelectricity, flexoelectricity exists in wider range of centrosymmetric materials especially nontoxic material useful for biomedical application. Flexoelectricity grows dominantly in energy density when scale reduces to submicro or nano, meaning the promise of enabling self-powered nano device such as body implant and small-scale wireless sensor. In this talk, I will present the multiscale characterization of flexoelectric materials and design of flexoelectric including nonlinear topological optimization for single/multi-phase materials, machine learning based nanoscale characterization of 2D flexoelectric materials, and atomistic to continuum dynamic flexoelectric modelling. Phononic metamaterials for enhancing the flexoelectricity is being utilized and integrated in the design to outperform the current design of nano energy harvesters. Interesting phenomenon of utilizing topological insulators and metaplates of phononic structures will be shown that can enhance the performance of nano energy harvester.


报告详情下载。



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