Data-Driven Multiscale Digital Twins for Cryogenic Composite Structures

Develop digital twins at multiple length scales and validation of NASA multiscale analysis tools for rapid, cost-effective material selection, design, and optimization of Type V linerless composite cryotanks.

Tools to develop lightweight, durable cryogenic tanks for extended missions resistant to leakage Experimentally validation of micromechanics models under tension and/or fatigue, to enable multiscale digital twins needed to predict microcracking in composites cryotanks—the primary driver of leakage. Generalized machine learning (ML) toolset for quantifying full-field comparisons between simulation and experiments for digital twin assessment and estimating material parameters that drive  failure modes at microscale

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.