This grant, offered by the DOE SC Program in Nuclear Physics (NP), is for research and development (R&D) efforts focused on applying Artificial Intelligence (AI) and Machine Learning (ML) to achieve autonomous optimization and control of accelerators and detectors. These efforts are particularly relevant to current and future Nuclear Physics accelerator facilities and scientific instrumentation. Existing and planned NP facilities encounter significant technical hurdles across simulations, control systems, data acquisition, and analysis. The integration of advanced AI and ML methodologies is anticipated to effectively tackle these complex challenges, thereby accelerating the timeline for experimental and computational scientific discoveries within the field. This initiative aims to enhance the efficiency and precision of critical NP infrastructure.
Opportunity ID: 344408
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | DE-FOA-0002875 |
| Funding Opportunity Title: | Artificial Intelligence and Machine Learning for Autonomous Optimization and Control of Accelerators and Detectors |
| Opportunity Category: | Discretionary |
| Opportunity Category Explanation: | – |
| Funding Instrument Type: | Grant |
| Category of Funding Activity: | Science and Technology and other Research and Development |
| Category Explanation: | – |
| Expected Number of Awards: | – |
| Assistance Listings: | 81.049 — Office of Science Financial Assistance Program |
| Cost Sharing or Matching Requirement: | No |
| Version: | Synopsis 1 |
| Posted Date: | Nov 08, 2022 |
| Last Updated Date: | Nov 08, 2022 |
| Original Closing Date for Applications: | Jan 11, 2023 |
| Current Closing Date for Applications: | Jan 11, 2023 |
| Archive Date: | Feb 10, 2023 |
| Estimated Total Program Funding: | $16,000,000 |
| Award Ceiling: | $2,000,000 |
| Award Floor: | $50,000 |
Eligibility
| Eligible Applicants: | Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled “Additional Information on Eligibility” |
| Additional Information on Eligibility: | – |
Additional Information
| Agency Name: | Office of Science |
| Description: |
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. Current and planned NP facilities and scientific instrumentation face a variety of technical challenges in simulations, control, data acquisition, and analysis. AI methods and techniques promise to address these challenges and shorten the timeline for experimental and computational discovery. |
| Link to Additional Information: | – |
| Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
Dr. Manouchehr Farkhondeh
Program Manager Phone 301-903-4398 Email:manouchehr.farkhondeh@science.doe.gov |
Version History
| Version | Modification Description | Updated Date |
|---|---|---|
Related Documents
Folder 344408 Full Announcement-DE-FOA-0002875 -> DE-FOA-0002875 .pdf
Packages
| Agency Contact Information: | Dr. Manouchehr Farkhondeh Program Manager Phone 301-903-4398 Email: manouchehr.farkhondeh@science.doe.gov |
| Who Can Apply: | Organization Applicants |
| Assistance Listing Number | Competition ID | Competition Title | Opportunity Package ID | Opening Date | Closing Date | Actions |
|---|---|---|---|---|---|---|
| 81.049 | PKG00278196 | Nov 09, 2022 | Jan 11, 2023 | View |
Package 1
Mandatory forms
344408 RR_SF424_5_0-5.0.pdf
344408 RR_Budget_3_0-3.0.pdf
344408 PerformanceSite_4_0-4.0.pdf
344408 RR_OtherProjectInfo_1_4-1.4.pdf
344408 RR_KeyPersonExpanded_4_0-4.0.pdf
Optional forms
344408 RR_SubawardBudget_3_0-3.0.pdf
344408 SFLLL_2_0-2.0.pdf
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