Scientific Discovery through Advanced Computing: Scientific Computation Application Partnerships in Fusion Energy Science

Scientific Discovery through Advanced Computing:
Scientific Computation Application Partnerships in Fusion Energy Science The Office of Fusion Energy Sciences (FES) and the Office of Advanced Scientific Computing Research (ASCR) of the Office of Science (SC), U.

S.

Department of Energy

(DOE), hereby announce their interest in receiving Cooperative Agreement applications from interdisciplinary teams to the Scientific Discovery through Advanced Computing (SciDAC) program, for Scientific Computation Application Partnerships (hereafter, Partnerships) in the area of fusion energy sciences.

The FES SciDAC portfolio focuses on the development and application of high physics fidelity simulation codes that can advance the fundamental science of magnetically confined plasmas by fully exploiting leadership class computing resources and contribute to the FES goal of developing the predictive capability needed for a sustainable fusion energy source.

The specific areas of interest under this Funding Opportunity Announcement (FOA) are:
1.

Edge Physics 2.

Multiscale Integrated Modeling, and 3.

Materials Science
Related Programs

Office of Science Financial Assistance Program

Department of Energy


Agency: Department of Energy

Office: Chicago Service Center

Estimated Funding: $6,600,000


Who's Eligible



Obtain Full Opportunity Text:
FedConnect

Additional Information of Eligibility:
All types of domestic entities are eligible to apply, except other Federal agencies, Federally Funded Research and Development Center (FFRDC) Contractors, and nonprofit organizations described in section 501(c)(4) of the Internal Revenue Code of 1986 that engaged in lobbying activities after December 31, 1995.

Full Opportunity Web Address:
https://www.fedconnect.net

Contact:
John Mandrekas, Office of Fusion Energy Sciences Program Contact, 301-903-0552john.mandrekas@science.doe.govRandall Laviolette, Ofc. of Advanced Sci. Computing Research Contact, 301-903-5195Randall.Laviolette@science.doe.gov

Agency Email Description:
john.mandrekas@science.doe.gov

Agency Email:
john.mandrekas@science.doe.gov

Date Posted:
2011-08-03

Application Due Date:
2011-10-26

Archive Date:
2012-01-27



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