Closed · DE-FOA-0002224 · CFDA 81.049 · Discretionary

Scientific Discovery through Advanced Computing: Scientific Machine Learning and Artificial Intelligence for Fusion Energy Sciences

Federal grant opportunity posted by Office of Science, cataloged on Grants.gov.

$50K-$3M
Award range
Closed
Status
April 30, 2020
Close date
7
Expected awards

The verdict

Scientific Discovery through Advanced Computing: Scientific Machine Learning and Artificial Intelligence for Fusion Energy Sciences is a closed discretionary listing from Office of Science that offered $50,000 -- $3,000,000 across 7 expected awards. Future funding cycles may be published under the same CFDA number. PlainGrants indexes 414 other opportunities from Office of Science.

$50K-$3M
award range
Closed
application status
7
expected awards
81.049
CFDA program

Archived opportunity record

Scientific Discovery through Advanced Computi… is closed (last close April 30, 2020). The parent program page for CFDA 81.049 is the reliable place to catch re-announcements. Office of Science still indexes 414 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 April 30, 2020

Posted Mar 4 Closes Apr 30

Est. Total Funding

$21,000,000

Expected Awards

7

Instrument

Grant

Description

The DOE SC programs in Fusion Energy Sciences (FES) and Advanced Scientific Computing Research (ASCR) invite applications under the Scientific Discovery through Advanced Computing (SciDAC) program in the area of Scientific Machine Learning and Artificial Intelligence (ML/AI) for Fusion Energy Science. The goal of this FOA is to support research aiming to sustain and enhance the leadership position of the United States in Artificial Intelligence (AI) while addressing high-priority research opportunities identified in recent fusion community studies. More specific information about the targeted research areas and allowable collaborations between multiple institutions is included in the SUPPLEMENTARY INFORMATION section below.A companion Program Announcement to the DOE National Laboratories (LAB 20-2224) will be posted on the SC Grants and Contracts web site at: https://science.osti.gov/grants/lab-announcements/open

Catch-all / unrestricted eligibility mark · DE-FOA-0002224

Grants.gov marks Scientific Discovery through Advanced Computi… 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: Grant. Funding-activity code maps to Science and Technology / R&D (ST). This eligibility-code string dominates the Office of Science book (278 peers, 67% of 415).

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

Matthew Lanctot Program Manager Phone 301-903-1972

What to do next

Scientific Discovery through Advanced Computi… is closed; use the parent program and agency catalog for the next funding cycle.

  • Parent CFDA 81.049 may publish future NOFOs under the same assistance listing. Open program
  • Basic Energy Sciences indexes 6 Grants.gov listings in this extract. Program profile
  • Office of Science lists 414 other indexed opportunities on PlainGrants. Agency catalog

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.

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