The DIFFERENTIATE program is making an investment of $36M to support the efforts of twenty-three talented teams in the development of a wide range of machine-learning (ML) enhanced design tools. The tools include system optimizers, surrogate models, and generative models that are initial being developed for a specific energy design challenge problem (e.g., power converters, wind turbine blades, or battery materials).

The above link will take you to a Google Scholar page with a saved search string that finds many of the DIFFERENTIATE sponsored publications.


Many, but not all, of ML-enhanced tools that are being developed by the DIFFERENTIATE teams are in the form of open source software that is available via Github repositories. A link to a page with at least some of these respositories is above.