A Nonlinear Magnetoelastic Energy Model and Its Application in Domain Wall Velocity Prediction

Area of Science:

• Condensed Matter Physics
• Materials Science

Background:

• Classical linear Magnetoelastic Energy (ME) models have limitations in predicting stress-induced variations in magneto-crystalline constants.
• Accurate modeling of magnetoelastic effects is crucial for developing advanced materials and sensors.

Purpose of the Study:

• To propose a novel nonlinear Magnetoelastic Energy (ME) model incorporating electron interactions.
• To enhance the prediction accuracy of anisotropic magneto-crystalline constants under external stress.
• To provide a more accurate model for domain wall velocity under combined stress and magnetic fields.

Main Methods:

• Development of a nonlinear ME formula including an attenuating term.
• Mathematical formulation to account for electron interactions influencing material parameters.
• Validation against experimental data for domain wall velocity prediction.

Main Results:

• The proposed nonlinear ME model demonstrates superior accuracy in predicting stress-induced variations of anisotropic magneto-crystalline constants compared to linear models.
• The model accurately predicts domain wall velocity under applied stress and magnetic fields.
• The nonlinear ME model is presented as concise and user-friendly.

Conclusions:

• The developed nonlinear ME model offers a significant improvement over classical approaches.
• This model has broad implications for sensor technology, magneto-acoustic coupling, and magnetoelastic excitation applications.
• The proposed model provides a robust and practical tool for scientific analysis and industrial production.