Artificial Intelligence and Machine Learning for Autonomous Optimization and Control of Accelerators and Detectors
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.
AI methods and techniques promise to address these challenges and shorten the timeline for experimental and computational discovery.
Obtain Full Opportunity Text:
System of Care Expansion Planning Grants
Additional Information of Eligibility:
Non-profit or non-governmental organisations
Full Opportunity Web Address:
http://www.samhsa.gov/grants/2013/sm-13-001.aspx
Contact:
Agency Email Description:
manouchehr.farkhondeh@science.doe.gov
Agency Email:
Date Posted:
2022-11-09
Application Due Date:
Archive Date:
2023-02-10
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