This project is a joint project of the De Magnete group and the Atom Probe Tomography group, and was initiated by MPIE’s participation in the CRC TR 270 HOMMAGE. We also benefit from additional collaborations with the “Machine-learning based data extraction from APT” project and the Defect Chemistry and Spectroscopy group.
Magnetic materials are key components of energy conversion devices and thus improving the material’s magnetic properties is critical to enhance the sustainability of power generation and conversion. We use atom probe tomography (APT) to study the relationship between the microstructure on the nanoscale and the properties of various soft and hard magnetic materials. As demonstrated by experiments and machine-learning aided analysis, the changes in magnetic properties, e.g., magnetization, coercivity, Curie temperature and domain structure, are closely related to the variation of magnets’ microstructure. Our results help guide the design of magnetic materials.
Several magnetic systems are currently under active investigation: NdFeB, Sm(Co,Fe), CeCoCu magnets as hard magnetic alloys and CoFeNiTaAl high-entropy alloys as soft magnets.
Fig: APT 3D map of the Sm2(Co,Fe,Cu,Zr)17 show different spatial arrangement of the three phases depending on the region: magnetic Cu-rich (blue) and Zr-rich (green) cell boundary phases inside Fe-rich matrix cell phase (grey).
Fig: APT 3D map of the Sm2(Co,Fe,Cu,Zr)17 show different spatial arrangement of the three phases depending on the region: magnetic Cu-rich (blue) and Zr-rich (green) cell boundary phases inside Fe-rich matrix cell phase (grey).
International researcher team presents a novel microstructure design strategy for lean medium-manganese steels with optimized properties in the journal Science
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