Software

See the table below for our open-source software offerings.

For the most current listing of NREL-developed open-source software, see U.S. Department of Energy Office of Scientific and Technical Information's DOE CODE database.

Commercial Licensing

Explore more than 250 copyrighted software tools available for licensing via the Department of Energy's Lab Partnering Service.

Sulfur TES ML

Nov 14, 2022, 12:25 PM

Sulfur TES ML comprises code initially developed for creating surrogate machine learning models to emulate the functionality of computational fluid dynamics simulations in sulfur thermal energy storage (TES) systems. The code has been adapted to offer a comprehensive package for constructing, training, validating, testing, and optimizing regression models, featuring customizable features and targets.

Title : Sulfur TES ML

Url : https://github.com/NREL/sulfur_tes_ml

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