Machine Learning Algorithms for Physics-Based Simulations

We are reaching the physical limits of silicon-based computer technology. Realization of Langley’s goals for quantum computing and Digital Twin would require advanced computer hardware and software architectures. Quantum and molecular computing architectures combined with advanced machine learning algorithms are being matured, and these new architectures and algorithms will enable an extraordinary computing power. 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, multiphysics, and multiscale simulation.

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.

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