Machine Learning Algorithms for Physics-Based Simulations

The primary goal of this proposal is to explore the use of machine learning algorithms to solve Langley's future computing needs for an integrated, multi-physics, and multi-scale simulation.

This project will directly support applications of quantum technology, digital twin, and simulation based engineering and science. NASA has historically been on the cutting-edge of computational tool development (e.g., NASTRAN, USM3D, FUN3D...), and the proposed effort will move us one step closer to exploiting the future computing architectures.

This is early/mid-stage (TRL 3) — the most realistic path in is NASA SBIR/STTR, which funds small businesses and research institutions to develop technology aligned with NASA's needs (equity-free, phased funding). Check whether a current SBIR/STTR solicitation topic overlaps with this project's technology area, or contact the project directly (above) to ask.

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.