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

Opportunity snapshot. This Grants.gov announcement - Artificial Intelligence and Machine Learning for Autonomous Optimization and Control of Accelerators and Detectors - is cataloged under number DE-FOA-0002875 and tied to CFDA assistance listing 81.049, posted by Office of Science. Grants.gov currently shows the opportunity as closed, first posted on November 9, 2022 and last updated on November 8, 2022. The funding category is Discretionary, delivered as a grant.

Award economics. The award range on file is $50,000 -- $2,000,000. The agency has projected $16.0 million in total estimated funding for this announcement. Cost sharing is not required, so applicants do not need to commit matching funds to be competitive on this opportunity. Federal award ranges are often upper bounds; actual allocations reflect program appropriations, the strength of the applicant pool, and the evaluation committee's scoring.

Deadline and action path. This opportunity closed on January 11, 2023. Future funding cycles may be published under the same CFDA number, so monitoring the parent program page is the most reliable way to catch re-announcements. Every Grants.gov submission requires an active SAM.gov registration and a Unique Entity ID. Review the Eligibility section below carefully, federal eligibility categories (nonprofit, state or local government, tribal, individual, educational institution, small business) have distinct registration and reporting requirements. Pre-application outreach to the listed agency contact is permitted and often welcomed, it helps clarify scope and scoring priorities. Before acting on the deadline or award figures above, verify them directly on the official Grants.gov listing, amendments can change dates and amounts after this page was last refreshed.