Statistics on magnetic properties of Co compounds: A database-driven method for discovering Co-based ferromagnets

The search for new ferromagnetic compounds is often targeted at known structure families, particularly those containing iron, cobalt, and manganese. We propose a method to expand this search to lesser-known structure types, using a database of experimental Curie and Neel temperatures. This study, in particular, illustrates the case of compounds containing the element cobalt, and we demonstrate how the use of such a database can lead to the discovery of ferromagnetic materials that had previously been overlooked. We report statistics from a literature survey of the magnetic properties of Co-based compounds with more than 33 at. % Co. We classify more than 13 000 compounds by structure type, cobalt content, and magnetic ground state. From these data, compounds TaCo2Ga, La6Co13Bi, and Nd2Co3 were identified as potential ferromagnets, and we confirm their ferromagnetic ordering theoretically via first-principles calculations and experimentally via synthesis and characterization measurements. In addition, the analysis is focused on the collection of data trends and discovery of ferromagnetic materials with easy-axis magnetic anisotropy. Both known ferromagnetic materials with unknown magnetic anisotropy, and unstudied compounds were considered. From the subset of known ferromagnets with unknown anisotropy, the compound Co2Mg was synthesized, characterized, and determined to have easy-axis magnetic anisotropy at room temperature.

Automated summary

This study proposes a method to search for new ferromagnetic compounds beyond known structure families using a database of experimental Curie and Neel temperatures. By focusing on cobalt-containing compounds, the use of this database helps discover previously overlooked ferromagnetic materials, which are confirmed through theoretical calculations and experimental synthesis.