Scientific Discovery through Computing (SCiDAC): Partnerships in Basic Energy Sciences
ID: 358270Type: Posted
Overview

Buyer

Office of Science (PAMS-SC)

Award Range

$4M - $10M

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/358270
Timeline
  1. 1
    Forecast Posted Not available
  2. 2
    Forecast Due Not available
  3. 3
    Posted Jan 17, 2025, 12:00 AM UTC
  4. 4
    Due Apr 25, 2025, 12:00 AM UTC
Description

The Office of Science at the Department of Energy (DOE) is inviting proposals for the Scientific Discovery through Computing (SCiDAC): Partnerships in Basic Energy Sciences program. This initiative aims to foster interdisciplinary partnerships that leverage advanced computing capabilities at DOE facilities to accelerate scientific discovery in targeted areas such as complex dynamical systems for energy-relevant materials and reliable AI for mechanistic extraction. The program underscores the importance of collaboration between domain scientists and computational experts to enhance understanding and innovation in energy-related research. The total funding available is $40 million, with individual awards ranging from $1 million to $2.5 million over four years. A pre-application is due by February 21, 2025, followed by the final application deadline of April 25, 2025. For further inquiries, interested parties can contact Dr. Matthias Graf at matthias.graf@science.doe.gov.

Files
Title
Posted
DE-FOA-0003515.pdf
Jan 19, 2025, 12:05 PM UTC
The Department of Energy (DOE) announces a funding opportunity under the Scientific Discovery through Advanced Computing (SciDAC) program, aimed at fostering interdisciplinary partnerships in Basic Energy Sciences (BES) and Advanced Scientific Computing Research (ASCR). The initiative, outlined in NOFO Number DE-FOA-0003515, seeks proposals from teams focusing on accelerating scientific discovery leveraging advanced computing capabilities at DOE's facilities. The total anticipated funding is $40 million, with individual awards ranging from $1 million to $2.5 million over four years. Proposals must address fundamental research within targeted areas: complex dynamical systems for energy-relevant materials, reliable and explainable AI for mechanistic extraction, and foundation models for chemical and materials sciences. Eligible applicants include diverse U.S. entities, but nonprofits engaged in lobbying are excluded. A pre-application is mandatory, due February 21, 2025, followed by applications due April 25, 2025. The project aims to bridge gaps between domain scientists and applied mathematicians/computer scientists, achieving advancements that would be difficult outside collaborative frameworks. The initiative underscores the DOE's commitment to enhancing scientific understanding and technological innovation in energy-related research.
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