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The page is for the 2022-2023 Industrial Efficiency and Decarbonization FOA (DE-FOA-0002804). Concept papers were due October 12, 2022; full applications due January 4, 2023. The stored deadline of 2026-06-30 does not match — this FOA is fully closed.
The DOE Industrial Efficiency and Decarbonization Funding Opportunity Announcement provides up to $104 million to support transformational technology and innovation necessary to reduce industrial greenhouse gas emissions and move toward a net-zero economy.
The program funds AI-enabled smart manufacturing solutions across multiple industrial sectors including iron and steel, food and beverage, cement and concrete, paper products, and cross-sector technologies.
Projects may address AI-driven process optimization, machine learning for energy efficiency, intelligent waste heat recovery systems, predictive maintenance using AI, smart manufacturing integration, and digital twin technologies for industrial decarbonization.
The DOE's Advanced Materials and Manufacturing Technologies Office also renewed funding for the Clean Energy Smart Manufacturing Innovation Institute (CESMII) with an initial $6 million commitment to advance AI-driven smart manufacturing adoption across U.S. industry.
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Search similar grants →Based on current listing details, eligibility includes: U.S.-based entities including universities, national laboratories, industry (for-profit companies of all sizes), nonprofit organizations, state and local governments, and tribal nations. Cost sharing is typically required at 20-50% depending on project type. Teams should demonstrate expertise in manufacturing technology, energy efficiency, AI/ML, and industrial processes. Multi-partner collaborations with industry involvement are strongly encouraged. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Up to $104 million Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is June 30, 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.
Defense Community Compatibility Account (DCCA) is a grant from the Washington State Department of Commerce that funds civilian-military compatibility projects near Washington's military installations. Grants support land acquisition, infrastructure, affordable housing, economic development, job replacement, environmental protection, and retrofitting of existing uses in communities influenced by military presence. Eligible applicants include local governments, special purpose districts, federally recognized Indian tribes, and entities with a DOD REPI program agreement with a Washington military installation. A pre-application eligibility determination is required before submitting a full application. The deadline is May 4, 2026.
The NSF FDT-BioTech program (NSF 24-561) supports interdisciplinary research at the intersection of AI, computational modeling, and biomedical innovation by funding the mathematical and engineering foundations behind digital twins and synthetic data for healthcare applications. Digital twins — computational replicas of biological systems, patients, or medical devices — require advanced AI and machine learning methods for their development, calibration, and deployment. The program funds research on methods and algorithms relevant to digital twins and synthetic humans, including AI-driven in silico evaluation of medical devices and treatments. Projects must be inherently interdisciplinary, combining expertise in mathematics, engineering, computer science, and biomedical domains. Collaborative projects across multiple organizations are encouraged and can receive up to $1 million in total funding over up to 3 years. The program is administered by multiple NSF directorates including the Division of Mathematical Sciences and the Office of Advanced Cyberinfrastructure, reflecting its cross-cutting nature. The deadline recurs annually on the first Monday in May.