Modeling, Simulation, and Visualization
Modeling and simulation comprise a discipline that, when combined with visualization, looks at ways to understand the interactions of system components and the system — not as separate entities but as a whole. Within Argonne and DIS, experts in modeling, simulation, and visualization are focusing on performing computational experiments (simulations over time) for both physical and social systems by using modeling and simulation concepts and approaches. Our team of skilled computer scientists develops reusable architectures and tools that support model integration, model simulation, and model result analysis.
Argonne's modeling, simulation, and visualization programs span many domains:
- Military Logistics
- Utility Infrastructure
- Chemical and Biological Warning Systems
- Facility Management at Installations
- Energy Systems
- Emergency Management
- Dispersion Modeling
- Public Health
Generic and open-source software techniques developed at Argonne are leveraged across the above-mentioned domains for discrete-event simulations, Monte Carlo simulations, agent-based modeling frameworks, sensor monitoring, system modeling, scientific visualization, and data mining.
Various integrative modeling approaches have opened new research avenues, bringing together scientists from many disciplines to investigate issues and develop systems that benefit both public and private sectors. A key strength of Argonne/DIS Division's cross-disciplined focus is the ability to synthesize/integrate best-of-breed simulation and analysis models, with technologies like agent-based models, to produce suites of tools that analyze complex interactions and feedback mechanisms between societal and physical processes.
For more information, contact:
James St. Aubin, Group Leader
Modeling, Simulation, and Visualization Group
Decision and Information Sciences Division
Argonne National Laboratory
9700 South Cass Ave., Bldg. 221
Argonne, IL, 60439
E-mail James St. Aubin