Topic: Physics

Scientists used artificial intelligence to study magnetic domains inside electric motors. They found hidden energy barriers that affect how energy is lost as heat.

Magnetic chaos is a major problem in electric motors, wasting energy and causing them to overheat. Researchers from Tokyo University of Science, Japan, worked with colleagues from other universities to develop a new model called the entropy-feature-eXtended Ginzburg-Landau (eX-GL) model. This model uses artificial intelligence to understand how magnetic domains inside soft magnetic materials behave at different temperatures.

The team used this approach to study maze domains in a rare-earth iron garnet (RIG). They captured microscopic images of the magnetic domains and analyzed them using the eX-GL model. The model detected uneven structural characteristics in the magnetic domain images, which helped the researchers identify hidden energy barriers that affect how magnetization reversal occurs.

The researchers found four major energy barriers that strongly influence magnetization reversal dynamics. They also discovered that maze domains grow more complex as the length of domain walls increases. This increasing complexity is driven by interactions between entropy and exchange forces.

Why It Matters

Understanding magnetic chaos in electric motors can help improve their efficiency, reducing energy waste and overheating. As India aims to increase its use of renewable energy sources, this research can contribute to developing more efficient electric vehicles and other technologies.

Key Facts

• Scientists developed a new model called the entropy-feature-eXtended Ginzburg-Landau (eX-GL) model to study magnetic domains inside soft magnetic materials.
• The eX-GL model uses artificial intelligence to understand how magnetic domains behave at different temperatures.
• Researchers found four major energy barriers that strongly influence magnetization reversal dynamics.
• Maze domains grow more complex as the length of domain walls increases, driven by interactions between entropy and exchange forces.

Key Terms

Magnetic Hysteresis Loss

The loss of energy as heat inside electric motors due to magnetic fields repeatedly reversing direction.

Implications

Understanding magnetic chaos in electric motors can help improve their efficiency, reducing energy waste and overheating. As India aims to increase its use of renewable energy sources, this research can contribute to developing more efficient electric vehicles and other technologies.