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Spin-based devices have attracted attention as an alternative to CMOS-basedtechnology. However, one of the challenges in spintronics devices is reducingthe spin-switching energy in ferromagnetic (FM) materials. To address this, weconsidered ferroelectric (FE) materials, which may affect the magneticproperties of FM materials. We explored various oxide perovskites ABO$_3$ as FEmaterials, onto which a Fe monolayer was placed as the FM material. Weevaluated the magnetic anisotropy energy (MAE) of the Fe monolayer whilevarying the polarization of ABO$_3$. Our analysis showed that the MAE dependson the magnetic dipole moment induced in the FE material at the interfacebetween the FE and FM materials due to structural modifications. Machinelearning techniques were also employed to identify universal behaviors of theMAE in the presence of FE layers, confirming the importance of magnetic momentsnear the interface in explaining the dependence of the MAE on FE materials.

Unraveling Magnetic Anisotropy Energy in Ferromagnetic Monolayer on Ferroelectric ABO$_3$ via DFT and Machine Learning