Understanding multiscale computation and its applications
This intensive two-day course covers fundamental modeling techniques to bridge between diverse physical scales. Such scales range from the atomic level to full-scale products.
This course also addresses the challenges of multiple physical processes interacting at multiple spatial and temporal scales. Applications of multiscale technologies in the aerospace and automotive industries, as well as in the emerging fields of nanotechnology and biotechnology, are also discussed.
As detailed in the course outline (click here to view), this course covers multiscale methods in both space and time. For each of these methods, both concurrent and information-passing approaches are covered. In the concurrent approach, multiscale methods are simultaneously resolved at various scales, whereas in the information-passing scheme, the fine scales are modeled, their gross response infused into the coarse scale. Within the discussion of each approach, verification and validation issues of multiscale tools are emphasized.
Intended audience
Due to the broad spectrum of application areas, this course is intended to be of interest and use to a varied audience, including:
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Graduate students and researchers in academia and government laboratories who are interested in acquiring the fundamental skills that will enable them to advance the state-of-the-art in the field
- Practitioners in the aerospace, pharmaceutical, electronics and automotive industries who are interested in taking advantage of existing multispace tools
- Commercial software vendors who are interested in extending their product portfolios and tap into new markets
FEOS certification
After participating in this course, each attendee receives an FEOS certificate of completion.
Course materials
The course materials consist of copies of the lecture notes, survey papers by the instructor, and recent manuscripts not yet in press. The complete volume of notes is available only to course attendees.
Course instructor
Dr. Jacob Fish has over twenty years of experience (both in industry and academia) in the field of multiscale computational engineering. He has published over one hundred journal articles and book chapters, and is a recipient of the 2005 USACM Computational Structural Mechanics Award given "in recognition of outstanding and sustained contributions to the broad field of Computational Structural Mechanics." Click here to read more....
Course location and accommodations
The course will be held at the Radisson Martinique on Broadway in New York City (click here for a map and driving directions).
Registered course attendees arrive at 8:00am on Monday. Lectures begin at 8:30am and end at 5:30pm on both Monday and Tuesday. Coffee breaks and lunches are provided.
Registration
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.
For additional information
For answers to questions not addressed here, please feel free to send e-mail to multiscale@feos.biz. Thank you.