Over the past decade, it has become evident that future technological advances in science and engineering, including materials, nanosciences, biosciences, electronics, energy and homeland security, cannot tolerate partitioned views of nature. Government agencies lead the charge by recognizing the potential of multiscale modeling and simulation with an unprecedented infusion of funding through various initiatives, including: NSTC NNI ($3.7Bil), which has identified an "urgent need for theory, modeling, large-scale computer simulation, and new design tools in order to understand and accelerate development"; DOE Predictive Science Academic Alliance Program ($100Mil); NSF-NIH ($15mil) Multiscale Modeling in Biomedical, Biological and Behavioral Sciences; DOE ($8.5mil) Atomic to Macroscopic Mathematics; NSF ($14mil) Network for Computational Nanotechnology; and so on.
Leading to the development of new capabilities, these investments have the potential to revolutionize scientific discovery and reduce prototyping costs and time to market. Over the past few years, multiscale technologies have been embraced by the aerospace, pharmaceutical, electronics and automotive industries. Several commercial software vendors are already planning to provide their customers with multiscale capabilities in their 2008 or 2009 software releases.
The two-day Multiscale Computational Science and Engineering course covers fundamental modeling techniques to bridge between physical scales ranging from the atomic level to full-scale products. The course also addresses the challenges of multiple physical processes interacting at multiple spatial and temporal scales. Click here to learn more....
Due to the broad spectrum of application areas, this course is intended to be of interest and use to a varied audience, including:
After participating in this course, each attendee receives an FEOS certificate of completion. Please click here to learn more about this intensive course....
You may register for this two-day course online (click here to register). The registration fee is $975 (USD), though a reduced rate of $875 (USD) is available to those who register and submit payment early (before April 15, 2007). A limited number of Ph.D. students are entitled to a reduced registration fee of $750 (USD) if they register and submit payment before April 15, 2007. The registration fee covers admission to the lectures, the course materials, coffee breaks and lunches.
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