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[[Phys-npps-mgmt-l] ] Artificial Intelligence and Machine Learning Applied to Nuclear Science and Technology Funding Opportunity

From: "Klimentov, Alexei" <aak AT bnl.gov>
To: "sdcc-leadership AT rcf.rhic.bnl.gov" <sdcc-leadership AT rcf.rhic.bnl.gov>, NPPS leadership team <Phys-npps-mgmt-l AT lists.bnl.gov>
Subject: [[Phys-npps-mgmt-l] ] Artificial Intelligence and Machine Learning Applied to Nuclear Science and Technology Funding Opportunity
Date: Mon, 21 Oct 2024 14:33:28 +0000

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From: DOE Office of Science <updates AT info.science.doe.gov>

Subject: Artificial Intelligence and Machine Learning Applied to Nuclear Science and Technology Funding Opportunity

Date: October 21, 2024 at 10:31:29 AM EDT

To: aak AT bnl.gov

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Funding Opportunity Announcement:

Artificial Intelligence and Machine Learning Applied to Nuclear Science and Technology

Funding Opportunity Announcement (FOA) Number: DE-FOA-0003458

Total Estimated Funding: $22 Million

Deadline for Letter of Intent (required):
Letters of Intent must be submitted by an
authorized institutional representative. November 14, 2024 at 5:00pm ET

Deadline for Applications: January 14, 2025 at 11:59pm ET

The U.S. Department of Energy’s Office of Science, under the Nuclear Physics (NP) program, is issuing notice of funding opportunity (NOFO) 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.

This announcement builds on NP’s efforts to address 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.

Please see the funding opportunity for agency contacts, eligibility, and more details.

View Funding Opportunity

U.S. Department of Energy - Office of Science



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[[Phys-npps-mgmt-l] ] Artificial Intelligence and Machine Learning Applied to Nuclear Science and Technology Funding Opportunity, Klimentov, Alexei, 10/21/2024