Notice2025-22127
Request for Information (RFI) on Partnerships for Transformational Artificial Intelligence Models
Primary source
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Published
December 5, 2025
Issuing agencies
Energy Department
Abstract
The U.S. Department of Energy (DOE) invites public comment on its Request for Information (RFI) regarding Partnerships for Transformational Artificial Intelligence Models. The purpose of this RFI is to solicit feedback from industry, think tanks, investors, research organizations, and other stakeholders on how DOE should best structure and enable partnerships to curate DOE scientific data across the National Laboratory complex for use in artificial intelligence (AI) models. This RFI also seeks input on using this data to develop self- improving AI models for science and engineering to advance scientific discovery, energy, and national security.
Full Text
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<title>Federal Register, Volume 90 Issue 232 (Friday, December 5, 2025)</title>
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[Federal Register Volume 90, Number 232 (Friday, December 5, 2025)]
[Notices]
[Pages 56138-56139]
From the Federal Register Online via the Government Publishing Office [<a href="http://www.gpo.gov">www.gpo.gov</a>]
[FR Doc No: 2025-22127]
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DEPARTMENT OF ENERGY
Request for Information (RFI) on Partnerships for
Transformational Artificial Intelligence Models
AGENCY: Office of Science, Department of Energy.
ACTION: Request for information.
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SUMMARY: The U.S. Department of Energy (DOE) invites public comment on
its Request for Information (RFI) regarding Partnerships for
Transformational Artificial Intelligence Models. The purpose of this
RFI is to solicit feedback from industry, think tanks, investors,
research organizations, and other stakeholders on how DOE should best
structure and enable partnerships to curate DOE scientific data across
the National Laboratory complex for use in artificial intelligence (AI)
models. This RFI also seeks input on using this data to develop self-
improving AI models for science and engineering to advance scientific
discovery, energy, and national security.
DATES: Responses to the RFI must be received by Wednesday, January 14,
2026.
ADDRESSES: Interested parties are to submit comments electronically to
<a href="/cdn-cgi/l/email-protection#2f6e666c4042425a41465b5666415f5a5b6f5c4c464a414c4a014b404a01484059"><span class="__cf_email__" data-cfemail="6b2a22280406061e05021f1222051b1e1f2b1808020e05080e450f040e450c041d">[email protected]</span></a>. Include ``Transformational Artificial
Intelligence Models'' in the subject line of the email. Only electronic
responses will be accepted. The complete RFI document is located at
<a href="https://sam.gov/workspace/contract/opp/18575cee90e74b11bbe963d7750408d8/view">https://sam.gov/workspace/contract/opp/18575cee90e74b11bbe963d7750408d8/view</a>.
FOR FURTHER INFORMATION CONTACT: Questions may be addressed to Hal
Finkel, Office of Science, U.S. Department of Energy, 1000 Independence
Avenue SW, Washington, DC 20585-0121, (301) 903-1304, or by email at
<a href="/cdn-cgi/l/email-protection#7c3d353f131111091215080535120c09083c0f1f1519121f1952181319521b130a"><span class="__cf_email__" data-cfemail="53121a103c3e3e263d3a272a1a3d2326271320303a363d30367d373c367d343c25">[email protected]</span></a>. Further instructions can be found in
the RFI document posted at <a href="https://sam.gov/workspace/contract/opp/18575cee90e74b11bbe963d7750408d8/view">https://sam.gov/workspace/contract/opp/18575cee90e74b11bbe963d7750408d8/view</a>.
SUPPLEMENTARY INFORMATION: In accordance with Section 50404 of
[[Page 56139]]
Public Law 119-21, the Department of Energy (DOE) intends to establish
a public-private consortium to curate DOE scientific data across the
National Laboratory complex for use in artificial intelligence (AI)
models and to develop self-improving AI models for science and
engineering using this data. These models must be provided to the
scientific community through a system of United States government,
academic, and private-sector programs and infrastructure which includes
the use of cloud technologies. This historic mobilization of DOE, the
National Laboratories, and private partners will serve as a force
multiplier in executing America's AI Action Plan to achieve global
dominance in AI, and to advance scientific discovery, energy, and
national security. The RFI asks questions about how to best structure
partnerships for curating scientific data for use in AI models and for
developing self-improving AI models for science and engineering using
DOE's data. The RFI also asks how DOE should best provide AI models to
the scientific community through programs and infrastructure making use
of cloud technologies. DOE intends to post non-confidential responses
received. The RFI is available at <a href="https://sam.gov/workspace/contract/opp/18575cee90e74b11bbe963d7750408d8/view">https://sam.gov/workspace/contract/opp/18575cee90e74b11bbe963d7750408d8/view</a>.
Confidential Business Information: Pursuant to 10 CFR 1004.11, any
person submitting information that he or she believes to be
confidential and exempt by law from public disclosure should submit via
email two well-marked copies: one copy of the document marked
``confidential'' including all the information believed to be
confidential, and one copy of the document marked ``non-confidential''
with the information believed to be confidential deleted. Submit these
documents via email. DOE will make its own determination about the
confidential status of the information and treat it according to its
determination.
Signing Authority: This document of the Department of Energy was
signed on November 21, 2025, by Harriet Kung, Acting Director for the
Office of Science, pursuant to delegated authority from the Secretary
of Energy. That document with the original signature and date is
maintained by DOE. For administrative purposes only, and in compliance
with requirements of the Office of the Federal Register, the
undersigned DOE Federal Register Liaison Officer has been authorized to
sign and submit the document in electronic format for publication, as
an official document of the Department of Energy. This administrative
process in no way alters the legal effect of this document upon
publication in the Federal Register.
Signed in Washington, DC, on December 3, 2025.
Jennifer Hartzell,
Alternate Federal Register Liaison Officer, U.S. Department of Energy.
[FR Doc. 2025-22127 Filed 12-4-25; 8:45 am]
BILLING CODE 6450-01-P
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