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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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Search similar grants →Based on current listing details, 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. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates $2,500,000 to $3,500,000 per award under cooperative agreement. Total program funding of $35 million across approximately 12 awards. Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is February 25, 2026. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
Federal grant success rates typically range from 10-30%, varying by agency and program. Build a strong proposal with clear objectives, measurable outcomes, and a well-justified budget to improve your chances.
Requirements vary by sponsor, but typically include a project narrative, budget justification, organizational capability statement, and key personnel CVs. Check the official notice for the complete list of required attachments.
Yes — AI tools like Granted can help research funders, draft proposal sections, and check compliance. However, always review and customize AI-generated content to reflect your organization's unique strengths and the specific requirements of the solicitation.
Review timelines vary by funder. Federal agencies typically take 3-6 months from submission to award notification. Foundation grants may be faster, often 1-3 months. Check the program's timeline in the official solicitation for specific dates.
Many federal programs offer multi-year funding or allow competitive renewals. Check the official solicitation for continuation and renewal policies. Non-competing continuation applications are common for multi-year awards.
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.
Innovate UK's Sovereign AI Proof of Concept programme funds proof of concept demonstrators of AI technologies with state-of-the-art performance across five strategic themes: fundamental AI research, materials discovery, biosciences and health, defense and national security, and AI-aided chip/hardware design. Individual project grants range from £50,000 to £120,000 (approximately USD $63,500-$152,400) from a total allocation of at least £1.6 million. Projects must be 1-3 months in duration, starting by January 2026 and completing by March 2026. The programme supports feasibility studies and industrial research, with funding covering up to 70% of costs for micro/small businesses, 60% for medium, and 50% for large organizations. Literature review studies and projects unable to scale are excluded.