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The ARPA-E CATALCHEM-E (Catalytic Application Testing for Accelerated Learning Chemistries via High-throughput Experimentation and Modeling Efficiently) program pairs artificial intelligence and machine learning with autonomous self-driving laboratories to dramatically accelerate industrial heterogeneous catalyst development for fuels and chemicals production.
The program aims to achieve more than a ten-times acceleration in the catalyst development cycle, completing 10-15 years of traditional work within 12-18 months. Key technical areas include autonomous and automated high-throughput experimentation methods, AI/ML-ready databases, multi-scale modeling, and surrogate AI/ML-assisted computational modeling for reactor performance and reaction mechanism elucidation.
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Or search similar grants →According to the current listing, eligibility includes: Unrestricted eligibility — all entity types may apply including universities, national laboratories, small businesses, large companies, and nonprofits. Full eligibility details specified in Section II.A of the Notice of Funding Opportunity. Confirm the full requirements in the official notice before applying.
The current listing shows $2,500,000 to $3,500,000 per award under cooperative agreement. Total program funding of $35 million across approximately 12 awards. Verify award ceilings, matching requirements, and allowable costs in the official notice.
The published deadline was February 25, 2026, which has passed. Check the official notice for any future application windows before investing time in a proposal.
ARPA-E CATALCHEM-E Program for AI-Driven Autonomous Catalyst Development Laboratories is funded by Advanced Research Projects Agency-Energy (ARPA-E), U.S. Department of Energy. 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 Department of Defense FY2026 Defense University Research Instrumentation Program (DURIP) provides funding for U.S. universities to acquire research equipment and instrumentation in areas important to national defense, including AI and machine learning hardware. The program is administered jointly by the Army Research Office (ARO), Office of Naval Research (ONR), and Air Force Office of Scientific Research (AFOSR), with approximately $34 million available and 95 awards anticipated. DURIP funds the acquisition of specialized computing hardware for AI/ML research (GPU clusters, TPUs, neuromorphic processors), robotics and autonomous systems testbeds, sensor arrays and data collection systems for machine learning training, high-performance computing infrastructure for defense-relevant AI research, and laboratory equipment for human-AI interaction studies. The program specifically supports equipment that enhances research-related education in DoD-priority disciplines. While general-purpose computing is not eligible, computing equipment directly supporting DoD-relevant AI research programs qualifies. No cost sharing is required.
Vinnova, Sweden's national innovation agency, funds projects developing applied AI solutions for Swedish industry through its Advanced Digitalization Programme. Each project can apply for between 2 and 10 million SEK (approximately $190,000 to $950,000 USD) covering up to 50% of eligible project costs. The total call budget is 60 million SEK. Projects run for 12-24 months and focus on two key areas: Intelligent Edge (AI for real-time application in the sensor chain) and AI-based decision support. All projects must address industrial needs and integrate gender equality and climate change perspectives. Scientific publications must be open access. A parallel call also funds AI and cybersecurity projects at 1-10 million SEK per project with a 50 million SEK total budget.
The FY2026 federal funding map has tilted hard toward AI, critical minerals, energy, advanced manufacturing, and workforce development — while a new layer of political review asks whether each award advances administration priorities. Here is a strategic map of where the money is moving, and how to position a proposal for the new alignment screen without distorting the work.
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