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Funding Opportunity Announcement:
FY 2023 Artificial Intelligence and Machine Learning for Autonomous Optimization and Control of Accelerators and Detectors
Funding Opportunity Announcement (FOA) Number: DE-FOA-0002875
Total Estimated Funding: $16 million
| Deadline for Applications: |
January 11, 2023 at 11:59 PM ET |
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.
The focus for this funding opportunity is to optimize the overall performance of complex accelerator and detector systems used for nuclear physics research using advanced computational methods with the help of artificial intelligence and machine learning applications.
This funding opportunity seeks to advance data analytics for autonomous optimization and control of accelerators and detectors relevant to current- or next-generation of nuclear physics accelerator facilities. Specific areas of interests for this FOA are efficient extraction of critical and strategic information from large complex data sets, addressing the challenges of autonomous control and experimentation, enhancing the efficiency of operation of accelerators and scientific instruments, and AI applied to data reduction of large experimental data.
All types of domestic applicants are eligible to apply. Please see the funding opportunity for agency contacts and more details.
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U.S. Department of Energy - Office of Science |
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