Rheological effects on love-type waves in fluid-loaded flexomagnetic layered structures: A machine-learning-based analysis

This study investigates Love-type wave propagation in a flexomagnetic layer bounded by liquid loading and an elastic half-space. Two rheological descriptions, that is, Maxwell and Kelvin–Voigt models are considered under magnetically open and short boundary conditions. The numerical results show that the normalized phase velocity decreases with the increase in the dimensionless wavenumber, and the increase in the thickness of the flexomagnetic layer increases the phase velocity. The density of the liquid and the thickness of the layer also have a significant effect on the dispersion characteristics. A direct comparison shows consistently higher phase velocities for Kelvin–Voigt loading than for Maxwell loading, highlighting the significance of liquid rheology in wave prediction. Moreover, the application of Random Forest regression and SHAP analysis to assess the sensitivity of the parameters demonstrates the importance of the parameter k H and the rheology-dependent contributions of the layer thicknesses and the liquid density. The results provide a comparative framework to tune Love-type waves for flexomagnetic layered sensing and surface-wave devices.