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Closed-Loop Machine Learning Framework for Accelerated Discovery of High-Performance Aerogel Composites

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Description

To develop an AI-driven, closed-loop materials discovery framework that rapidly identifies and optimizes high-performance aerogel composites for next-generation spacecraft protection with fewer experiments, lower cost, and faster technology maturation

Benefits

This effort will enable future of work possibilities and digital transformation to accurately predict high-performance formulations, enabling rapid, data-driven materials discovery with significantly fewer physical experiments.

Details

Technology areaMaterials, Structures, Mechanical Systems, and Manufacturing
ProgramAgency Independent Research and Development (A-IRAD)
Lead organizationGlenn Research Center, Cleveland, OH
Start date2026-10-01
End date2027-09-30

Project contacts

Listed on TechPort itself — the most direct way to ask about this specific project.

How to get involved

This is a mature technology (TRL 7+) — the realistic path in is usually NASA's Technology Transfer Program: licensing an existing NASA patent, or a Space Act Agreement to use NASA facilities/expertise directly. NASA also runs a startup licensing program with no upfront fee for companies formed to commercialize a specific NASA technology.

None of these are guaranteed paths for this specific project — TechPort itself doesn't have an "apply" button. Reaching out to the contact(s) above with a specific question is usually the fastest way to find out what's actually open.