The NucScholar project uses Natural Language Processing (NLP) to automatically retrieve, categorize, and recommend nuclear science papers. The goal of this effort is to provide the groundwork for a shift to a fully automated workflow for nuclear science literature searches, enabling increased efficiency in the nuclear data pipeline and accelerating data throughput for a wide range of applications.
Additional information about the project can be found here, along with a listing of all project team members.