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IAP 2012 Activities by Sponsor

Nuclear Science and Engineering

In Vino Veritas 2012
Professor Linn W. Hobbs
Mon Jan 9, Tue Jan 10, Thu Jan 12, Mon Jan 16, Wed Jan 18, 05-08:00pm, 6-104

Enrollment limited: advance sign up required (see contact below)
Limited to 60 participants.
Participants requested to attend all sessions (non-series)
Prereq: Participants must be age 21 or older on 1/9/12. ID required.
Fee: 185.00 for wines, crackers and extensive tasting notes

Harvard cannot lay claim to all verities! This high quality introductory class in wine appreciation, long an IAP classic now in its 31st year, with 2300 enthusiastic alumnae/i, will acquaint participants with the truth about wines from around the world through comparative tastings of about 55 fine wines. The offering is perennially oversubscribed, so immediate registration is advised. Payment of fee with registration.
Contact: Gabrielle Joseph, 13-4062, x3-6970, gaj@mit.edu
Cosponsor: Materials Science and Engineering

MOOSE Software Training
Ben Forget, Kord Smith
Tue Jan 10, Wed Jan 11, Thu Jan 12, 08am-05:00pm, 3-370

Enrollment limited: first come, first served
Participants requested to attend all sessions (non-series)

Systems of coupled, nonlinear partial differential equations often arise in simulation of nuclear processes. MOOSE: Multiphysics Object Oriented Simulation Environment, a parallel computational framework targeted at solving these systems, is presented. As opposed to traditional data-flow oriented computational frameworks, MOOSE is founded on the mathematical principle of Jacobian-free Newton-Krylov (JFNK) solution methods. Utilizes the mathematical structure present in JFNK, physics are modularized into "kernels" allowing for rapid production of new simulation tools. In addition, systems are solved fully coupled and fully implicit employing physics based preconditioning which allows for great flexibility even with large variance in time scales. A summary of the mathematics, an inspection of the structure of MOOSE, and several representative solutions from applications built on the framework are presented.
Contact: Ben Forget, 24-214, 253-1655, bforget@mit.edu


MIT  
Massachusetts Institute of Technology
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Last update: 7 Sept. 2011