The Office of Basic Energy Sciences (BES) of the U.S. Department of Energy (DOE) is offering a grant in Computational Materials Sciences to support the development of community codes and databases for predictive design of functional materials. This grant aims to advance the Materials Genome Initiative for Global Competitiveness (MGI) by reducing the timeline for deploying new materials. Applications should propose integrated, multidisciplinary teams utilizing advanced characterization techniques and computational modeling to enhance materials research. The deadline for submissions is April 25, 2016, 12:00 AM EDT.
Opportunity ID: 281356
General Information
Document Type: | Grants Notice |
Funding Opportunity Number: | DE-FOA-0001528 |
Funding Opportunity Title: | Computational Materials Sciences |
Opportunity Category: | Discretionary |
Opportunity Category Explanation: | CategoryExplanation |
Funding Instrument Type: | Grant |
Category of Funding Activity: | Science and Technology and other Research and Development |
Category Explanation: | – |
Expected Number of Awards: | 2 |
Assistance Listings: | 81.049 — Office of Science Financial Assistance Program |
Cost Sharing or Matching Requirement: | No |
Version: | Synopsis 1 |
Posted Date: | Feb 05, 2016 |
Last Updated Date: | Feb 05, 2016 |
Original Closing Date for Applications: | Apr 25, 2016 |
Current Closing Date for Applications: | Apr 25, 2016 |
Archive Date: | Jul 25, 2016 |
Estimated Total Program Funding: | $4,000,000 |
Award Ceiling: | $2,500,000 |
Award Floor: | $1,500,000 |
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: | – |
Additional Information
Agency Name: | Office of Science |
Description: | The Office of Basic Energy Sciences (BES) of the U.S. Department of Energy (DOE) announces its interest in receiving applications in Computational Materials Sciences proposing integrated, multidisciplinary teams that will perform research to develop validated community codes and data bases for predictive design of functional materials, excluding structural materials. Computational Materials Sciences Teams could also involve new approaches to enhance the use of large data sets derived from advanced characterization of materials, materials synthesis, processing, and properties assessments and the parallel data that are generated by large scale computational efforts that model materials phenomena. Computational Materials Sciences will support the Materials Genome Initiative for Global Competitiveness (MGI) that was announced by the President in June 2011. The goal of the MGI is to reduce the time from discovery to deployment of new materials by a factor of two and is tied to advancement of American manufacturing capability. This funding opportunity continues the BES commitment to the MGI and the development of open source codes that can take full advantage of today’s petascale and future exascale leadership computing facilities. |
Link to Additional Information: | Agency website |
Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
James Davenport
BES-Office of Materials 301-903-0035 Email:james.davenport@science.doe.gov |
Version History
Version | Modification Description | Updated Date |
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Related Documents
Folder 281356 Full Announcement-1 -> de-foa-0001528.pdf
Packages
Agency Contact Information: | James Davenport BES-Office of Materials 301-903-0035 Email: james.davenport@science.doe.gov |
Who Can Apply: | Organization Applicants |
Assistance Listing Number | Competition ID | Competition Title | Opportunity Package ID | Opening Date | Closing Date | Actions |
---|---|---|---|---|---|---|
81.049 | DE-FOA-0001528 | Computational Materials Sciences | PKG00220797 | Feb 09, 2016 | Apr 25, 2016 | View |
Package 1
Mandatory forms
281356 RR_SF424_2_0-2.0.pdf
281356 RR_Budget_1_3-1.3.pdf
281356 PerformanceSite_2_0-2.0.pdf
281356 RR_OtherProjectInfo_1_3-1.3.pdf
Optional forms
281356 RR_SubawardBudget_1_3-1.3.pdf