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The High-Performance Computing for Energy Innovation (HPC4EI) Spring 2026 solicitation (HPC4EI-2026SP-RN-SOL) connects U.S. small- and medium-sized manufacturers with national laboratory supercomputing capacity to accelerate AI-driven materials discovery, digital twins, and AI/ML-enabled smart manufacturing.
Projects funded through this solicitation accelerate development of new materials and improve manufacturing and industrial processes through artificial intelligence, machine learning, and digital simulation. Jointly funded by DOE's Advanced Materials and Manufacturing Technologies Office (AMMTO) and Industrial Technologies Office (ITO), the Spring 2026 round prioritizes AI and HPC integration aligned with DOE priorities.
Project teams pair industry applicants with DOE national laboratory scientists for 6-12 month projects using HPC resources at Argonne, Oak Ridge, Lawrence Livermore, NREL, and other DOE labs. Strong fit for U.S. manufacturers seeking to deploy AI for process optimization, defect detection, digital twins, generative materials design, and predictive maintenance.
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Search similar grants →According to the current listing, eligibility includes: Entities that manufacture in the United States for commercial applications and the organizations that support these entities. Universities, institutes, and non-profit organizations may partner with U.S.-based small and medium manufacturers (SMMs). Industry partners must provide 20 percent cost share. Confirm the full requirements in the official notice before applying.
The current listing shows up to $400,000 per Phase I project to support HPC cycles and research conducted by national laboratory staff. Industry partners must provide a minimum 20 percent cost share, which may include in-kind contributions such as personnel time, data, or other resources. Phase II projects receive similar amounts. Verify award ceilings, matching requirements, and allowable costs in the official notice.
The published deadline was May 28, 2026, which has passed. Check the official notice for any future application windows before investing time in a proposal.
DOE HPC4EI Spring 2026 Solicitation for AI-Enabled Manufacturing and Materials Innovation is funded by U.S. Department of Energy (Advanced Materials and Manufacturing Technologies Office and Industrial Technologies Office, executed by Lawrence Livermore National Laboratory). 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.
The DOE INCITE (Innovative and Novel Computational Impact on Theory and Experiment) 2027 Call for Proposals invites scientific teams to apply for substantial allocations of leadership-class supercomputing time on the Frontier exascale system at Oak Ridge, the Aurora exascale system at Argonne, and the Polaris supercomputer at Argonne. The 2027 call opened in April 2026 with a June 15, 2026 close. Priority research areas include scientific modeling, simulation, data analytics, and artificial intelligence (including foundation models for science, ML-accelerated simulation, and large-scale ML training). Individual awards typically span 500,000 to 1,000,000 node-hours on Aurora and Frontier and 100,000 to 250,000 node-hours on Polaris, with multi-year allocations possible. Awards announced Fall 2026; access begins January 2027. Eligibility is global. The INCITE program is the principal mechanism for accessing DOE leadership computing facilities for groundbreaking AI-for-science research, including foundation model training, scientific reasoning model development, and large-scale AI-driven materials and biology discovery.
NSF TechAccess AI-Ready America is a major new initiative to establish AI-ready Coordination Hubs in every U.S. state and territory to expand access to AI knowledge tools training and capacity building. Announced March 25 2026 the initiative is a joint effort of NSF USDA National Institute of Food and Agriculture (NIFA) Department of Labor and Small Business Administration (SBA). Each Hub will connect local partners and coordinate AI deployment scale proven approaches based on state and local priorities and address three key gaps: workforce AI literacy small business and local government AI adoption and hands-on learning pathways. Up to 56 Hubs will be funded at up to $1 million per year for three years selected through three rounds of competition. An informational webinar is scheduled for April 14 2026. This is distinct from NSF ExpandAI which focuses on institutional AI research capacity building and from NSF Expanding AI Career which targets skilled technical workforce opportunities.
The DARPA Tactical Technology Office (TTO) Office-Wide Broad Agency Announcement seeks revolutionary research ideas in autonomous systems, AI-enabled mission systems, advanced weapons, ground systems, maritime systems, and space systems. The BAA uses a two-step process: researchers first submit Executive Summaries by April 17, 2026 at 4:00 PM ET, and DARPA responds with either encouragement or discouragement before inviting full proposals on a rolling basis until June 22, 2026. Research thrusts include AI for autonomous platforms in contested tactical environments, human-machine teaming for warfighting applications, AI-enabled autonomy for unmanned ground vehicles and maritime systems, AI for collaborative space operations, and AI-enabled mission planning and battle management. Programs span basic research through prototype demonstrations.
DOE's Critical Minerals and Materials Accelerator funds lithium extraction, rare earth recycling, and semiconductor-grade refining. Staggered deadlines run through July 2026.
Read articleDOE's third round of critical minerals funding offers $50M-$100M awards for domestic processing, recycling, and manufacturing. Applications close April 24.
Read articleThe DOL Industry-Driven Skills Training Fund is distributing $30 million across 14 states for employer-led workforce training in advanced manufacturing, AI, and skilled trades. Employer applications open mid-2026.
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