2025-03-01
A Review of Artificial Intelligence‐Driven Innovations in Soft Magnetic Materials Optimization: Current Trends and Future Horizons
2025-03-01 • Yichuan Tang, Shaopeng Liu, Silong Li, Ruonan Ma, Yue Li, Kun Wang, Minxia Fang, Chao Zhou, Sen Yang, Yin Zhang
ABSTRACT With the continuous accumulation of data, machine learning is playing an increasingly important role in materials science, especially demonstrating significant advantages in predicting material compositions and developing new alloy systems for soft magnetic materials. However, currently, it mainly focuses on composition optimization while often neglecting the impact of structure and fundamental physical parameters. On this matter, we have discussed model selection in machine learning modeling, the issues …