Artificial Intelligence and Machine Learning User Applications and Support Tools
NLR has developed general-purpose artificial intelligence (AI) and machine learning (ML) tools for various energy research applications.
AL and ML can be applied to various scientific challenges across NLR, including reduced-order modeling, making predictions, and image processing. The field of ML is quickly evolving, which can make it challenging for scientific researchers to stay updated on the latest tools and deploy them for domain-specific problems.
NLR's AI User Applications and Support project develops tools and provides technical support for applying AI and ML methods to research problems across the laboratory. ML is currently being used at NLR for a variety of crosscutting applications such as reduced order modeling of fundamental turbulence/chemistry dynamics, molecular dynamics, power grid operations, and hydrogen fuel cell production.
This uncertainty-aware long short-term memory model predicts production from a fuel cell trained on experimental data. The colors show the uncertainty of the prediction, which is greater in regions where the prediction is less accurate.
Download AI User Applications and Support Codes
The software suite can be accessed via a GitHub repo.
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Last Updated Jan. 29, 2026