Closed · FOA-AFRL-RQKM-2019-5011 · CFDA 12.800 · Discretionary

Data-Driven Discovery of Optimized Multifunctional Material Systems Center of Excellence (D³OM²S CoE)

Federal grant opportunity posted by Air Force -- Research Lab, cataloged on Grants.gov.

Varies
Award range
Closed
Status
January 3, 2019
Close date
1
Expected awards

The verdict

Data-Driven Discovery of Optimized Multifunctional Material Systems Center of Excellence (D³OM²S CoE) is a closed discretionary listing from Air Force -- Research Lab that offered Varies by applicant across 1 expected award. Future funding cycles may be published under the same CFDA number. PlainGrants indexes 152 other opportunities from Air Force -- Research Lab.

Varies
award range
Closed
application status
1
expected award
12.800
CFDA program

Archived opportunity record

Data-Driven Discovery of Optimized Multifunct… is closed (last close January 3, 2019). Check the agency catalog for replacement NOFOs. Air Force -- Research Lab still indexes 152 other opportunities here.

According to Grants.gov (extract vintage 2026-08-10), this record reflects the officially published listing. See methodology.

Deadline tracker

Application window closed

Closed January 3, 2019

Posted Nov 30 Closes Jan 3

Est. Total Funding

$5,000,000

Expected Awards

1

Instrument

Cooperative Agreement

Description

The objective of this effort is the development and application of artificial intelligence, data analytics, and decision science to advance materials problems of interest to the USAF through strong, organic collaborations between the Recipient and USAF researchers. The program will seek to grow these collaborations by funding graduate students at the Recipient institution(s) performing basic research in materials problem spaces via application and adaptation of approaches in data analytics. Research under this program should produce actionable, quantifiable information that furthers fundamental knowledge of materials systems.

Catch-all / unrestricted eligibility mark · FOA-AFRL-RQKM-2019-5011

Grants.gov marks Data-Driven Discovery of Optimized Multifunct… with a catch-all / unrestricted eligibility code (Unrestricted / see official listing). Read the official announcement text for the real applicant filter — the code alone is not a door list. The extract does not mark applicant cost-sharing as required. Instrument: Cooperative Agreement. Funding-activity code maps to Science and Technology / R&D (ST). This eligibility-code string dominates the Air Force -- Research Lab book (127 peers, 83% of 153).

Code 99
Unrestricted / see official listing

Codes are Grants.gov eligibility category values from the extract vintage 2026-08-10. Confirm the full eligibility statement on the official listing or the Grants.gov eligibility reference.

Official Listing on Grants.gov

View full details, application forms, and submission instructions.

View on Grants.gov

Agency Contact

Melissa Gross Grants Negotiator Phone 937-713-9980

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What to do next

Data-Driven Discovery of Optimized Multifunct… is closed; use the parent program and agency catalog for the next funding cycle.

  • Browse open federal opportunities in the same category when this listing is closed. Open opportunities
  • Look up CFDA 12.800 across all indexed listings before you commit to this opportunity alone. Eligibility finder
  • Compare award ranges across federal categories before you pick a single CFDA. All categories

Opportunity deadlines and eligibility change on Grants.gov; PlainGrants mirrors the extract and is not the submission system.

Disclaimer: This information is sourced from Grants.gov and SAM.gov and is for informational purposes only. Opportunity details, deadlines, and eligibility requirements change frequently. Always verify current information directly on Grants.gov before applying. PlainGrants is not affiliated with any federal agency.

Read our methodology - how this data is sourced, computed, and verified.

Data sourced from the SAM.gov Assistance Listings and Grants.gov. See our methodology for details. Retrieved and formatted by PlainGrants