  A comprehensive database of magnetic materials is valuable for researching
the properties of magnetic materials and discovering new ones. This article
introduces a novel workflow that leverages large language models for extracting
key information from scientific literature. From 22,120 articles in the Journal
of Magnetism and Magnetic Materials, a database containing 2,035 magnetic
materials was automatically generated, with ferromagnetic materials
constituting 76% of the total. Each entry in the database includes the
material's chemical compounds, as well as related structures (space group,
crystal structure) and magnetic temperatures (Curie, N'eel, and other
transitional temperatures). To ensure data accuracy, we meticulously compared
each entry in the database against the original literature, verifying the
precision and reliability of each entry.
