Modeling and Simulation of Complex Systems
The overall goal of the current Mississippi EPSCoR RII grant (2009-2014) is to develop competitive research infrastructure in modeling and simulation of biological and biologically relevant complex systems. New capabilities will utilize cyberinfrastructure to help researchers investigate, understand, and predict the behavior of complex systems through realistic multi-scale modeling and simulation. We are modeling systems across a wide spectrum of scales to address scientific questions in several key areas including materials, sensors, bioenergy, environmental responses, health, and agriculture. In addition, we are developing enabling technologies that cut across research focus areas. Examples include data provenance, visualization, and co-processor acceleration.
Computational Chemistry Research Focus Area (CompChem)
CompChem is coupling modeling and simulation with experimentation to gain a better understanding of chemical phenomena at the nanoscale level. We utilize this increased understanding to improve synthetic control, assess the environmental impact, and facilitate biomimetic design of nanosystems.
Computation Biology Research Focus Area (CompBio)
CompBio focuses on building models of biological networks with an emphasis on non-model species. Computer scientists and life scientists collaborate to address issues at each step of building gene regulatory networks including identification and characterization of genes/proteins, determination of the interaction of genetic components, and reconstruction of networks.
Biological Systems Simulation Research Focus Area (BioSim)
BioSim is developing a multi-scale simulation framework for investigating human biological processes. This framework will enable prediction of biological function ranging from fluid and structural mechanics to cellular and organism level physiology to molecular chemistry.