Award Abstract #0205663
ITR: A Data Driven Environment for Multiphysics Applications

NSF Org:	CNS Division of Computer and Network Systems
Initial Amendment Date:	September 30, 2002
Latest Amendment Date:	August 9, 2004
Award Number:	0205663
Award Instrument:	Continuing grant
Program Manager:	Frederica Darema CNS Division of Computer and Network Systems CSE Directorate for Computer & Information Science & Engineering
Start Date:	October 1, 2002
Expires:	December 31, 2004 (Estimated)
Awarded Amount to Date:	$1579834
Investigator(s):	Charbel Farhat cfarhat@stanford.edu (Principal Investigator) Elias Houstis (Co-Principal Investigator) Michel Lesoinne (Co-Principal Investigator) John Michopoulos (Co-Principal Investigator)
Sponsor:	University of Colorado at Boulder 3100 Marine Street, Room 481 Boulder, CO 80309 303/492-6221
NSF Program(s):	CENTRAL & EASTERN EUROPE PROGR, ITR MEDIUM (GROUP) GRANTS, INFORMATION TECHNOLOGY RESEARC
Field Application(s):	0000099 Other Applications NEC, 0000912 Computer Science
Program Reference Code(s):	HPCC, 9251, 9218, 9215, 5930, 1687, 1667
Program Element Code(s):	5979, 1687, 1640

ABSTRACT

EIA-0205663 University of Colorado Charbel Farhat ITR: A Data Driven Environment for

Multiphysics Applications

The objective of this project is to enable an efficient prediction capability for the response of multiscale interdisciplinary continuous interacting systems. This will be done by an effective union of information technologies, coupled multiphysics sciences, and automated massive experimentation for data gathering to steer adaptive modeling of the observed systemic behavior.

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