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Institute for Advanced Computing Applications and Technologies

Multiscale Simulation in Science and Engineering

  • IACAT Kick-Off Presentation

    IACAT Kickoff, Sept. 3, 2008
    Richard Braatz

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:
David M. Ceperley, Physics/NCSA
Dora Cai, NCSA
Michael T. Heath, Computer Science
Eric G. Jakobsson, Molecular & Integrative Physiology, Bioengineering, Biochemistry, NCSA
Emad Tajkhorshid, Biochemistry, Biophysics
Umberto Ravaioli, Electrical & Computer Engineering
Narayana R. Aluru, Mechanical Science & Engineering, Electrical & Computer Engineering, Bioengineering
Sudhakar V. Pamidighantam, NCSA
Jeongnim Kim, NCSA/Materials Computation Center, Materials Research Laboratory
Mark Straka, NCSA
David Tcheng, NCSA
Michael Welge, NCSA