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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 area | Materials, Structures, Mechanical Systems, and Manufacturing |
| Program | Agency Independent Research and Development (A-IRAD) |
| Lead organization | Glenn Research Center, Cleveland, OH |
| Start date | 2026-10-01 |
| End date | 2027-09-30 |
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.