Dr. Stephane Redon Head of the NANO-D group - INRIA Grenoble - Rhône-Alpes
SAMSON: Software for Adaptive Modeling and Simulation Of Nanosystems
Abstract During the twentieth century, the development of macroscopic engineering has been largely stimulated by progress in numerical design and prototyping: cars, planes, boats, and many other manufactured objects are nowadays designed and tested on computers. Digital prototypes have progressively replaced actual ones, and effective computer-aided engineering tools have helped cut costs and reduce production cycles of these macroscopic systems.
The twenty-first century is most likely to see a similar development at the atomic scale. Indeed, the recent years have seen tremendous progress in nanotechnology - in particular in the ability to control matter at the atomic scale. Similar to what has happened with macroscopic engineering, powerful and generic computational tools will be employed to engineer complex nanosystems, through modeling and simulation.
In this talk, we will review the current efforts of the NANO-D group at INRIA on the development of a theory, and associated algorithms, for adaptive simulation of nanosystems. We will introduce some underlying algorithms and present interactive demonstrations of SAMSON (Software for Adaptive Modeling and Simulation Of Nanosystems), our physically-based modeller, on both artificial and natural examples.
Short Bio Stephane Redon leads the NANO-D research group at the INRIA Grenoble - Rhone-Alpes Research Center. He graduated from Ecole Polytechnique in 1998, and received his M.S. in 1999 from Pierre and Marie Curie University, France. He received a Ph.D. in Computer Science in 2002 from INRIA Rocquencourt - Evry University, France and spent two years in the Department of Computer Science of the University of North Carolina at Chapel Hill as a Post-Doctoral Research Associate, before becoming a permanent research at INRIA in March 2005. His research interests have included the design of robust and realistic real-time virtual environments, collision detection, haptics, motion planning, simulation levels of detail, and computational molecular biology. His current research is centered on the development of computational methods for modeling and simulation of natural and artificial nanosystems. His research is funded by the French National Research Agency (ANR), the Rhône-Alpes Region, INRIA, and the European Research Council through an ERC Starting Grant.
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