Contract
Revolutionizing Industrial Scale Materials Processing
- Agency
- DEPT OF DEFENSE / DEFENSE ADVANCED RESEARCH PROJECTS AGENCY (DARPA)
- Location
- ARLINGTON, VA
- Amount
- Amount not listed
- Deadline
- Closes in 6 days (Jul 24, 2026)
- Posted
- Jul 6, 2026
- Set-aside
- None (open competition)
- NAICS code
- 541715
What this contract is for
BACKGROUND DARPA is seeking engagement from industrial producers of raw materials including cast, rolled, and forged metals, bulk ceramics, and composites to aid in developing a future program. This RFI is meant to provide the reasoning behind our need for engagement and to present the potential value proposition. Included is a simple survey to gather information on willingness to participate in a future effort. DARPA is considering a program to bring together performer teams composed of the best material scientists, process engineers, and data scientists to revolutionize industrial scale materials processing. Currently, process uncertainty forces system designers to rely on minimum expected property values (e.g., Metallic Materials Properties Development and Standardization (MMPDS)) to guarantee reliability. As a result, even though most processed materials exceed these data sheet minimums, designers must either sacrifice potential system performance margins or use unnecessarily expensive materials to account for statistical variability. Furthermore, this same process uncertainty inevitably yields some products that fall below minimum specifications, reducing overall yield and forcing producers into costly re-processing or scrapping of materials. DARPA believes recent advances in material informatics and physical modeling can demystify the "art" of large-scale processing. While modern industry excels at minimizing variability to meet current baselines, there is significant room for growth; for example, many 7000 series aluminum alloys have a potential performance margin exceeding 15% at fixed plate thicknesses and heat treatments. The challenge lies in the complex, interconnected nature of production variables—such as slight fluctuations in composition, heat treatment,...
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