Optimizing magnets via revealing and theoretically engineering material inhomogeneities (B12*)

• Subject Area: Theoretical Condensed Matter Physics
• Term: since 2024
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 405553726

State-of-the-art data-driven inference methods and magnetic multiscale modelling are combined to systematically study material inhomogeneities and characterize their role in the hysteresis behaviour. A large amount of micromagnetic and atomistic spin dynamics simulations with various inhomogeneities will be produced to train a machine learning model (A01, A05, A06, A07, B06, B13), which can automatically detect, and characterize different inhomogeneities and their influence on the hysteresis behaviour (B01, B11). Exploiting this analysis framework, experimental data will be analysed.

• DFG Programme: CRC/Transregios
• Subproject of: TRR 270: Hysteresis Design of Magnetic Materials for Efficient Energy Conversion: HoMMage
• Applicant Institution: Technische Universität Darmstadt
• Project Head: Professorin Dr. Karin Everschor-Sitte