Scientific Discovery through Computing (SciDAC): Partnerships in Basic Energy Sciences
Limited submission
DOE seeks applications for interdisciplinary teams to use high-performance computing for scientific discovery in Basic Energy Sciences.
This grant is no longer accepting proposals
Office of Science has archived this opportunity.
Funder: Office of Science
Due Dates: February 21, 2025 (Pre-application) | March 21, 2025 (Pre-application response) | April 25, 2025 (Full application)
Funding Amounts: Up to $2,000,000/year for academic institutions and $2,500,000/year for DOE labs; 4-year project period; total program funding up to $40M; up to 6 awards expected.
Summary: Supports interdisciplinary teams using high-performance computing to advance fundamental research in basic energy sciences, focusing on complex dynamical systems, explainable AI, or foundation models for chemical/materials sciences.
Key Information: Pre-application is required; each lead institution may submit up to 2 proposals; applications must address one of three specified topics.
Description
The U.S. Department of Energy (DOE) Office of Science, through its Basic Energy Sciences (BES) and Advanced Scientific Computing Research (ASCR) programs, invites applications from interdisciplinary teams for the Scientific Discovery through Advanced Computing (SciDAC) Partnerships in Basic Energy Sciences. This opportunity aims to accelerate scientific discovery by leveraging DOE’s high-performance computing (HPC) resources in support of fundamental research aligned with BES and ASCR missions.
Projects must focus on one of three targeted topics:
- Complex dynamical systems for energy-relevant chemical and/or physical systems and materials
- Reliable and explainable Artificial Intelligence (AI) for extracting chemical and/or physical mechanisms from phenomena
- Foundation Models (FMs) for chemical and materials sciences
Teams must include domain scientists (e.g., materials science, chemistry, geosciences, biosciences) and applied mathematicians and/or computer scientists, and must collaborate with members of the SciDAC Institutes (FASTMath or RAPIDS2).
