Closed · DE-FOA-0002875 · CFDA 81.049 · Discretionary

Artificial Intelligence and Machine Learning for Autonomous Optimization and Control of Accelerators and Detectors

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

$50K-$2M
Award range
Closed
Status
January 11, 2023
Close date
-
Expected awards

The verdict

Artificial Intelligence and Machine Learning for Autonomous Optimization and Control of Accelerators and Detectors is a closed discretionary listing from Office of Science that offered $50,000 -- $2,000,000. Future funding cycles may be published under the same CFDA number. PlainGrants indexes 414 other opportunities from Office of Science.

$50K-$2M
award range
Closed
application status
81.049
CFDA program
414
other opportunities from Office of Science

Archived opportunity record

Artificial Intelligence and Machine Learning… is closed (last close January 11, 2023). 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 January 11, 2023

Posted Nov 9 Closes Jan 11

Est. Total Funding

$16,000,000

Instrument

Grant

Description

The DOE SC program in Nuclear Physics (NP) hereby announces its interest in receiving applications for research and development (R&D) efforts directed at artificial intelligence (AI) and machine learning (ML) for autonomous optimization and control of accelerators and detectors of relevance to current or next generation NP accelerator facilities and scientific instrumentation.Current and planned NP facilities and scientific instrumentation face a variety of technical challenges in simulations, control, data acquisition, and analysis. AI methods and techniques promise to address these challenges and shorten the timeline for experimental and computational discovery.

Catch-all / unrestricted eligibility mark · DE-FOA-0002875

Grants.gov marks Artificial Intelligence and Machine Learning… 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

Parent Grant Program

CFDA 81.049

Basic Energy Sciences

U.S. Department of Energy

View program →

Agency Contact

Dr. Manouchehr Farkhondeh Program Manager Phone 301-903-4398

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What to do next

Artificial Intelligence and Machine Learning… 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.

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