NSF Org:	OAC Office of Advanced Cyberinfrastructure (OAC)
Recipient:	GEORGIA TECH RESEARCH CORP
Initial Amendment Date:	September 19, 2009
Latest Amendment Date:	September 19, 2009
Award Number:	0832634
Award Instrument:	Standard Grant
Program Manager:	Irene Qualters OAC  Office of Advanced Cyberinfrastructure (OAC) CSE  Directorate for Computer and Information Science and Engineering
Start Date:	September 15, 2009
End Date:	August 31, 2012 (Estimated)
Total Intended Award Amount:	$13,224.00
Total Awarded Amount to Date:	$13,224.00
Funds Obligated to Date:	FY 2009 = $13,224.00
History of Investigator:	Pui-Kuen Yeung (Principal Investigator) pk.yeung@ae.gatech.edu James Riley (Co-Principal Investigator) Robert Moser (Co-Principal Investigator) Amitava Majumdar (Co-Principal Investigator)
Recipient Sponsored Research Office:	Georgia Tech Research Corporation 926 DALNEY ST NW ATLANTA GA  US  30318-6395 (404)894-4819
Sponsor Congressional District:	05
Primary Place of Performance:	Georgia Institute of Technology 225 NORTH AVE NW ATLANTA GA  US  30332-0002
Primary Place of Performance Congressional District:	05
Unique Entity Identifier (UEI):	EMW9FC8J3HN4
Parent UEI:	EMW9FC8J3HN4
NSF Program(s):	Leadership-Class Computing
Primary Program Source:	01000910DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s):	7781, 9216, HPCC
Program Element Code(s):	778100
Award Agency Code:	4900
Fund Agency Code:	4900
Assistance Listing Number(s):	47.070

ABSTRACT

This award provides travel funds to support technical coordination between the Blue Waters project team and a team of turbulence researchers to explore the readiness of a turbulence simulation code for use on the Blue Waters system. If successful it is anticipated that the code will be used for advanced research into the dynamics of reactive turbulent shear flows and of stratified geophysical turbulence. A greater understanding of such dynamics may lead to improved capacity to predict and control pollutant dispersal by turbulence, better tools for the design of vehicles (e.g. aircraft, trains, ships) to reduce drag, for the design of combustion systems to increase efficiency and reduce pollutants, and to improved models for mixing and transport phenomena in geophysical flow modeling.

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