

Institute for Advanced Computing Applications and TechnologiesMultiscale Simulation in Science and Engineering
Increasingly complex systems involve orders-of-magnitude variation in time and length scales, and different simulation methods are most effective at different scales, which motivate efforts to simulate overall multi-scale systems by coupling multiple simulation methods that produce the best predictions at each scale. Richard Braatz (Chemical & Biomolecular Engineering) leads the project Multiscale Simulation in Science and Engineering. The main objectives of this research project are to create a universal set of algorithms, software, and data analysis tools for multiscale simulation, and to validate this cyberinfrastructure in applications for which increased predictability is of high importance. Put simply, the project will build cyber-infrastructure needed to make multiscale simulation accessible and practicable by a wide variety of researchers across a spectrum of science and engineering communities. This includes the design and implementation of multiscale simulations on high end computing platforms such as Blue Waters as well as the analysis of data from such systems. Associated faculty and staff: |