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There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
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"Self and Directed Assembly of Nanostructures"
Dr. Miguel Fuentes-Cabrera
Oak Ridge National Laboratory
Center for Nanophase Materials Sciences
University of La Laguna
Abstract
Self-assembly is a term used to describe a process in which a disordered system composed of individuals, e.g. molecules, metallic nanoparticles, proteins, is able to organize itself into an ordered structure. This phenomenon is observed in many scientific areas, from biology to materials science to sociology. In nanotechnology, self-assembly is a subject of intense research because it is seen as an efficient way of constructing structures at the nanoscale. For the last few years, and in collaboration with experimental groups at the Center for Nanophase Materials Sciences, I have been studying the self-assembly of molecules, proteins and metallic nanoparticles. In this talk, I'll review some of our most interesting results, while presenting future directions of research, which include collective motion and active matter.
Biography
Miguel Fuentes-Cabrera was born in Tenerife, Canary Islands Spain. He obtained his Ph.D. from the University of La Laguna and, after a Fulbright postdoc in materials science at Arizona State University and a postdoc in biophysics at North Carolina State University, he moved to the Oak Ridge National Laboratory, where he has been since 2002. He's currently a staff member at the Center for Nanophase Materials Sciences, where his main topic of research is self-organization, no matter whether self-organization takes place among molecules, proteins, droplets, or even microbes. He uses a variety of computational techniques to study self-organization, and in the last few years he has developed an interest on agent-based modeling techniques.