Computational Multiscale Nanosystems

Four visualizations indicate progression of hydrogel.

This group approaches the design of nanosystems using computational methodologies that involve multiple physics domains and multiple scales in time and space.

Group Leader: Umberto Ravaioli

The composition of the group is strongly multidisciplinary, encompassing computational disciplines in solid-state electronics, electromagnetics, mechanical engineering, chemical engineering and biology, with the main research thrusts addressing nano-electro-mechanical systems (NEMS) and nanobiotechnology applications. Nanoscale simulation approaches developed for electronics and mechanics have been merged to arrive at practical engineering tools for the analysis of transport phenomena in natural and artificial nanosystems, with the overarching goal to create a comprehensive hierarchy of large-scale computational approaches for the design of a range of future nanotechnology systems.

Members of this group coordinate the Illinois site of the NSF Network for Computational Nanotechnology (NCN) and lead the NIH Nanomedicine Center for the Design of Nanoconductors as well as the recently established DARPA IMPACT Center for NEMS design. A significant interest of several members is also nanotechnology education, with a focus on the development of materials that incorporate advanced visualization and on-line simulation.