Artificial Intelligence and Machine Learning Applied to Nuclear Science and Technology
ID: 356713Type: Posted
Overview

Buyer

Office of Science (PAMS-SC)

Award Range

$200K - $4M

Eligible Applicants

Unrestricted

Funding Category

Science and Technology and other Research and Development

Funding Instrument

Other

Opportunity Category

Discretionary

Cost Sharing or Matching Requirement

Yes

Original Source

https://grants.gov/search-results-detail/356713
Timeline
    Description

    The Department of Energy's Office of Science has announced a funding opportunity titled "Artificial Intelligence and Machine Learning Applied to Nuclear Science and Technology" (DE-FOA-0003458), aimed at supporting innovative research and development projects that leverage AI and machine learning to optimize operations in nuclear physics. The initiative seeks applications focused on enhancing accelerator and detector performance, addressing challenges in data analysis, simulations, and control within current and future nuclear physics facilities. With a total funding pool of up to $22 million, individual awards will range from $200,000 to $3.5 million, and projects are expected to span a two-year period. Interested applicants, including all domestic institutions except certain nonprofit organizations, must submit a Letter of Intent and are encouraged to promote inclusivity in their research efforts. For further inquiries, applicants can contact Dr. Manouchehr Farkhondeh at manouchehr.farkhondeh@science.doe.gov or by phone at 301-903-4398. The application deadline is January 14, 2025.

    Files
    Title
    Posted
    DE-FOA-0003458.pdf
    The Department of Energy (DOE) Office of Science has issued a Notice of Funding Opportunity (NOFO) titled "Artificial Intelligence and Machine Learning Applied to Nuclear Science and Technology" (DE-FOA-0003458). This funding initiative aims to support research and development projects that utilize AI and machine learning (ML) for optimizing accelerator and detector operations relevant to nuclear physics. The initiative responds to challenges in data analysis, simulations, control, and theory within current and future nuclear physics facilities. The available funding is projected at up to $22 million, with individual awards ranging from $200,000 to $3.5 million and a project period of two years. All domestic institutions, except certain nonprofit organizations, may apply, and a Letter of Intent is mandatory. The research topics of interest include using AI for data extraction, developing digital twins for colliders, enhancing autonomous controls, and improving operational efficiency of accelerators. Successful applicants will be required to attend annual progress meetings and are encouraged to promote inclusivity in research. Overall, this NOFO seeks to advance nuclear science and enhance related technologies through innovative AI applications, aligning with DOE’s mission of promoting scientific discoveries and tools.
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