Weiye Song
Papers
1
Total Citations
1
H-Index
1
About
Weiye Song is a researcher whose work centers on the analytical modeling of magnetic fields in permanent magnet systems, with a particular focus on incorporating realistic physical effects often overlooked in simplified models. His key contribution lies in developing a rigorous analytical framework for axially magnetized cylindrical permanent magnets that explicitly accounts for demagnetization effects—a critical factor that influences the actual magnetization distribution within the magnet. By integrating the virtual magnetic charge method with the demagnetizing field, Song’s model provides a more accurate representation of the magnetic field behavior, bridging the gap between theoretical predictions and practical performance. His most-cited paper, published in 2025, has already garnered 1 citation, signaling early recognition within the magnetics community. This work is particularly valuable for applications in precision actuators, magnetic levitation systems, and sensor design, where accurate field characterization is essential. Song’s approach offers engineers and researchers a powerful tool for optimizing permanent magnet configurations, demonstrating his commitment to advancing the fundamental understanding of magnetic materials and their real-world behavior.
Research Focus
Key Achievements
Top Papers
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