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 报告题目: dynamic molecular networks:from molecular recognition to self-synthesizing materials
  
 开始时间: 2017-12-05 15:00:00
  
 报告地点: 徐汇校区实验一楼第一会议室
  
 报 告 人: 芬兰图尔库大学李健维高级研究员
  
 主办单位: 材料科学与工程学院
  
 备    注:

Life is a highly dynamic and complex system containing components such as bilayer membranes, nucleic acids and proteins. These biological macromolecules are not randomly mixed together, but kept in specific compartments, reflecting a high degree of organization. However, the theory behind such well organization of biological organisms is still a mystery for scientists. Learning how to understand much simpler synthetic systems may shed some light on this intriguing issue. Systems chemistry appears justified as it deals with chemical systems endowed with a high degree of complexity, so as to show emergent properties, that is, properties of a whole system that are not predictable solely from the properties of its constituent parts. Dynamic combinatorial chemistry has been proven as a powerful framework for the study of complex chemical systems, for its products form dynamic molecular networks. Our research was extensively focused on self-assembly in complex chemical systems, from thermodynamically to kinetically controlled systems. We have demonstrated that, in a dynamic molecular network, self-replication could be driven by self-assembly whose outcome is a self-synthesizing material. This discovery reveals that self-assembly not only can construct beautiful and intriguing structures i.e. catenanes and “Russian-doll”-like supramolecular architectures, but also can promote the molecules to make copies of themselves as the living matters in nature[6,7]. We have also found that the morphologies of the self-assemblies may be able to decide the occurrence of self-replication. These results have shown the complex interplay between molecular and colloidal aspects of the dynamic systems.