The U.S. Department of Energy’s Office of Science has announced the 2026 Call for Proposals under its INCITE program, inviting researchers to apply for access to some of the world’s most powerful high-performance computing systems. The submission window runs from April 11 to June 16, 2025, offering opportunities for scientific teams to secure substantial computational resources for large-scale research projects in fields such as modeling, simulation, data analytics, and artificial intelligence.
Managed by DOE’s Office of Science, the INCITE program allocates up to 60% of available node-hours on the Frontier exascale system at Oak Ridge National Laboratory (ORNL) and the Polaris supercomputer and Aurora exascale system at Argonne National Laboratory (ANL). Individual awards typically range from 500,000 to 1,000,000 node-hours on Aurora and Frontier and 100,000 to 250,000 node-hours on Polaris.
Eligible applicants include researchers from academia, national laboratories, industry, and federal agencies worldwide, with successful projects demonstrating a clear need for leadership-class computing resources. The program aims to advance scientific discovery and technological innovation across disciplines such as astrophysics, biology, chemistry, and earth sciences. Proposals will undergo rigorous peer review, with awards announced in November 2025 and access to resources beginning in 2026.
DOE INCITE Program Announces 2026 Call for Proposals
The DOE INCITE Program has launched its 2026 Call for Proposals, inviting researchers to submit applications by June 16, 2025. This initiative offers access to some of the world’s most powerful supercomputers, including Frontier at Oak Ridge National Laboratory and Aurora at Argonne National Laboratory, providing up to 60% of node-hours on these systems.
Researchers from various sectors, including academia, industry, and federal agencies worldwide, are eligible to apply. Successful proposals must demonstrate a clear need for extreme-scale computing resources and align with the program’s goal of advancing scientific discovery and innovation across disciplines such as astrophysics, biology, chemistry, and earth sciences.
To aid applicants, informational webinars are scheduled on April 23 and May 6. Proposals should be submitted via doeleadershipcomputing.org, detailing how the requested resources will drive research objectives. The selection process involves rigorous peer review, evaluating both scientific merit and computational readiness.
Awards will be announced in November 2025, with access to resources commencing in 2026. This program underscores the DOE’s commitment to fostering breakthroughs through high-performance computing, supporting projects that require substantial computational power to achieve significant scientific advancements.
Key Details of DOE INCITE Program Resources
The DOE INCITE Program provides access to some of the world’s most advanced supercomputing systems, including the Frontier exascale system at Oak Ridge National Laboratory, the Polaris supercomputer, and the Aurora exascale system at Argonne National Laboratory. These systems are designed to support large-scale research projects requiring extreme computational power for scientific modeling, simulation, data analytics, and artificial intelligence.
The program allocates up to 60% of available node-hours on these systems, with individual awards ranging from 500,000 to 1,000,000 node-hours on Aurora and Frontier, and 100,000 to 250,000 node-hours on Polaris. Exceptional proposals may receive larger allocations, reflecting the program’s commitment to supporting ambitious research initiatives.
Katherine Riley, director of science for Argonne Leadership Computing Facility, emphasized that the INCITE program offers open science researchers access to advanced computing resources, enabling cutting-edge research across diverse scientific disciplines. The program reflects the DOE’s commitment to fostering innovation through high-performance computing, supporting projects that require substantial computational power to achieve meaningful scientific progress.
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