Slots: 3
Deadlines
Internal Deadline: Thursday, October 31st, 2024, 5pm PT Contact RII.
LOI: November 14, 2024 (required), 11:59pm ET
External Deadline: January 14, 2025, 11:59pm ET
Award Information
Award Type: Grant
Estimated Number of Awards: 10-15
Anticipated Award Amount: $200,000 – $3,500,000
Who May Serve as PI: Standard DOE requirements.
Link to Award: https://www.grants.gov/search-results-detail/356713
Process for Limited Submissions
PIs must submit their application as a Limited Submission through the Research Initiatives and Infrastructure (RII) Application Portal: https://rii.usc.edu/oor-portal/. Use the template provided here: RII Limited Submission Applicant Template
Materials to submit include:
- (1) Two-Page Proposal Summary (1” margins; single-spaced; standard font type, e.g. Arial, Helvetica, Times New Roman, or Georgia typeface; font size: 11 pt). Page limit includes references and illustrations. Pages that exceed the 2-page limit will be excluded from review. You must use the template linked above.
- (2) CV – (5 pages maximum)
Note: The portal requires information about the PIs in addition to department and contact information, including the 10-digit USC ID#. Please have this material prepared before beginning this application.
Purpose
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.
Current and planned NP facilities and scientific instrumentation face a variety of technical challenges in theory, simulations, control, data acquisition, and data analysis. AI methods and techniques promise to address these challenges and shorten the timeline for experimental and computational discovery.
The approach for this NOFO is to support the development and application of AI/ML in all research areas of NP to expand and accelerate scientific reach and discovery. Opportunities include AI to address challenges in autonomous control, efficiency of operation of accelerators and scientific instruments, digital twinning for future colliders, efficient extraction of critical information from large complex data sets and enabling data-driven discovery of new physics. Major areas of research may include, for example:
• Efficient extraction of critical and strategic information from large complex data sets:
• Development and implementation of digital twins for future colliders;
• Efforts to address the challenges of autonomous control and experimentation,
• Efficient operation of accelerators and scientific instruments,
• Deployment of AI for reduction of large and/or complex experimental data,
• Development of software to enable data-driven discovery of new physics
Visit our Institutionally Limited Submission webpage for more updates and other announcements.