Opportunity ID: 229094

General Information

Document Type:: Grants Notice
Funding Opportunity Number:: DE-FOA-0000895
Funding Opportunity Title:: Uncertainty Quantification Methodologies for Enabling Extreme-Scale Science
Opportunity Category:: Discretionary
Opportunity Category Explanation::
Funding Instrument Type::
Category of Funding Activity:: Science and Technology and other Research and Development
Category Explanation::
Expected Number of Awards::
Assistance Listings Number(s):: 81.049 — Office of Science Financial Assistance Program
Cost Sharing or Matching Requirement:: No
Version:: Synopsis 1
Posted Date:: Apr 03, 2013
Last Updated Date::
Original Closing Date for Applications:: May 24, 2013
Current Closing Date for Applications:: May 24, 2013
Archive Date:: Aug 23, 2013
Estimated Total Program Funding:: $ 0
Award Ceiling:: $0
Award Floor:: $0

Eligibility

Eligible Applicants:: Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled “Additional Information on Eligibility”
Additional Information on Eligibility:: All types of applicants are eligible to apply, except 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.

Additional Information

Agency Name:: Office of Science
Description:: The Advanced Scientific Computing Research (ASCR) program of the Office of Science (SC), U.S. Department of Energy (DOE), hereby invites proposals for basic mathematical, statistical and computational research that significantly advances uncertainty quantification methodologies for enabling extreme-scale science.

The purpose of this FOA is to invite proposals in ASCR Applied Mathematics basic research that significantly advance uncertainty quantification (UQ) methodologies as an enabling technology in extreme-scale scientific computing. UQ broadly refers to the end-to-end study of the accuracy, reliability, development and effective use of computational models in making scientific inferences. Mathematically rigorous UQ methodologies are essential to a wide range of DOE science and engineering applications in carrying out predictions, design optimization, decision making, or other high-level tasks. UQ relies on a broad range of applied mathematics and statistics research, along with algorithmic and computational developments, and subject matter expertise, to enable an appropriate level of confidence in the use of computational models for scientific investigations.

A companion Program Announcement to DOE Laboratories (LAB 13-895) will be posted on the SC Grants and Contracts web site at: http://www.science.doe.gov/grants

The full text of the Funding Opportunity Announcement (FOA) is located on FedConnect. Instructions for completing the Grant Application Package are contained in the full text of the FOA which can be obtained at: https://www.fedconnect.net/FedConnect/?doc=DE-FOA-0000895&agency=DOE.

Link to Additional Information::
Grantor Contact Information:: If you have difficulty accessing the full announcement electronically, please contact:

Version History

Version Modification Description Updated Date
Synopsis 1

Package Status

Below are CLOSED Opportunity Package(s) no longer available for this Funding Opportunity:

Package No: 1

Assistance Listings: 81.049
Competition ID: DE-FOA-0000895
Competition Title: Uncertainty Quantification Methodologies for Enabling Extreme-Scale Science
Opportunity Package ID: PKG00172259
Opening Date: Apr 03, 2013
Closing Date: May 24, 2013
Agency Contact Information:: Technical/Scientific Program Contact:
Who Can Apply:: Organization and Individual Applicants
mendatory_forms SF424 (R & R) [V1.2]
Research & Related Budget [V1.1]
Project/Performance Site Location(s) [V1.2]
Research And Related Other Project Information [V1.2]
optional_forms R & R Subaward Budget Attachment(s) Form [V1.2]
Disclosure of Lobbying Activities (SF-LLL) [V1.1]

Packages

Assistance Listings Competition ID Competition Title Opportunity Package ID Opening Date Closing Date Actions Who Can Apply:
81.049 DE-FOA-0000895 Uncertainty Quantification Methodologies for Enabling Extreme-Scale Science PKG00172259 Apr 03, 2013 May 24, 2013 View Technical/Scientific Program Contact: Organization and Individual Applicants