Artificial Intelligence and Machine Learning Applied to Nuclear Science and Technology
- Posted
- October 15, 2024
- Closed
- January 14, 2025
- Award ceiling
- $3,500,000
- Award floor
- $200,000
- Cost sharing
- No
- Instrument
- Grant, Other
- Assistance listing
- 81.049
- Archives
- February 13, 2025
Program funding history
Awards made under Assistance Listing 81.049 across FY2024–FY2026, from public federal spending records.
- FY2024 obligated
- $1.7B
- FY2025 obligated
- $1.4B
- FY2026 (to date) obligated
- $994.7M
- Awards in window
- 6,130
Top recipients: Michigan State University, General Atomics, University of Wisconsin System, Massachusetts Institute of Technology, University of Illinois
Source: USAspending.gov · refreshed September 2026 · Program page: awards, recipients and the opportunities under this listing →
Synopsis
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, as well as applications applying AI/ML to advance nuclear physics computations
Who can apply
- Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled "Additional Information on Eligibility"
The official record
Grants.gov published the official terms and dates of this opportunity; this page keeps them as they were listed.
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