Artificial Intelligence and Machine Learning Applied to Nuclear Science and Technology DE-FOA-0003458
Sponsor: DOEInternal Deadline: 10/16/2024Institutional Submission Limit: 3Sponsor Deadline: 11/14/2024Program Website
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.
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.
Submission Process
Limited submissions MUST be coordinated with the Office of the Vice President for Research.
If interested in applying for this opportunity, please combine the following items into a single PDF and email to resdev@mailbox.sc.edu by 5pm on the INTERNAL DEADLINE above:
- Cover page with grant program name & number (if applicable) to which you are applying, your project title, PI (name, department/unit, & email), and list of co-PIs/key collaborators (name & department/unit)
- a two-page project abstract addressing key components/criteria for this specific grant program
- a 2-3 page CV/biosketch for the PI (SCiENcv preferred)