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AI for Science Proposals is sponsored by National Energy Research Scientific Computing Center (NERSC). The AI for Science Proposals is a grant from the National Energy Research Scientific Computing Center (NERSC) that funds research teams leveraging the Perlmutter supercomputer to advance the state of the art in AI for scientific discovery.
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NERSC Issues 2026 Call for AI for Science Proposals | NERSC NERSC Issues 2026 Call for AI for Science Proposals Artificial Intelligence , NERSC invites proposals for projects that will leverage the Perlmutter supercomputer to push the state of the art in AI for science and produce novel science outcomes.
We are looking for teams with expertise in deep learning for science, a deep understanding of the scientific domain, and demonstrated proof-of-concept results. This is an open call. It is not necessary to be a current NERSC user to submit a proposal.
Initially, up to 10,000 Perlmutter GPU node hours will be awarded to accepted projects (each Perlmutter GPU node contains four A100 GPUs) with associated storage quotas on NERSC’s file systems . Additional computer time and data storage may be available for projects that can demonstrate their ability to use them effectively.
NERSC staff assistance will be available for consulting on running effectively at NERSC, but not generally for model development. We also encourage applications to use Perlmutter ’s CPU-only nodes to generate AI-ready datasets, with the expectation that these datasets will be publicly available. Up to 20,000 CPU node hours per project will be awarded to successful applicants, possibly more depending on resource availability.
All awards are for the NERSC 2026 Allocation Year, which runs through January 19, 2027.
Proposals should include the following: Well-defined project scope that includes relevant scientific background, objectives, methodology, and impact on the scientific community Computational resource requirements and utilization plan Team expertise, experience, as well as clear and specific deliverables, along with an expected timeline Awardees will be required to report progress and summarize achievements to NERSC.
Projects will be evaluated based on the following criteria: Scientific significance and innovation Degree of relevance to the missions of NERSC, Berkeley Lab, and the DOE Office of Science Technical feasibility of the proposed project Potential and readiness for effectively leveraging NERSC’s large computational resources at scale Clarity in scope, timeline, objectives, and track record of the research team Proposals are now being accepted and reviewed on a rolling basis until all resources are awarded.
Submissions made by April 30, 2026 will be given full consideration. Please email your questions to the NERSC AI team . The National Energy Research Scientific Computing Center (NERSC) is the mission computing facility for the U.S. Department of Energy Office of Science , the nation’s single largest supporter of basic research in the physical sciences.
Located at Lawrence Berkeley National Laboratory (Berkeley Lab), NERSC serves 11,000 scientists at national laboratories and universities researching a wide range of problems in climate, fusion energy, materials sciences, physics, chemistry, computational biology, and other disciplines.
An average of 2,000 peer-reviewed science results a year rely on NERSC resources and expertise, which has also supported the work of seven Nobel Prize-winning scientists and teams. NERSC is a U.S. Department of Energy Office of Science User Facility. Media contact: Email our communications team ⟶
According to the current listing, eligibility includes: Researchers with expertise in deep learning for science. Confirm the full requirements in the official notice before applying.
The current listing shows up to 10,000 Perlmutter GPU node hours. Verify award ceilings, matching requirements, and allowable costs in the official notice.
AI for Science Proposals is funded by National Energy Research Scientific Computing Center (NERSC). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
MGPV Travel Grant is sponsored by Geological Society of America (GSA), Mineralogy, Geochemistry, Petrology, Volcanology Division. MGPV Travel grants support student travel to the annual GSA meeting. Applications are restricted to active graduate or undergraduate students who are the presenting authors of an accepted abstract at the annual GSA meeting.
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