Performance prediction of sintered NdFeB magnet using multi-head attention regression models

Performance prediction of sintered NdFeB magnet using multi-head attention regression models

Abstract The preparation of sintered NdFeB magnets is complex, time-consuming, and costly. Data-driven machine learning methods can enhance the efficiency of material synthesis and performance optimization. Traditional machine learning models based on mathematical and statistical principles are effe...

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Bibliographic Details
Main Authors: Qichao Liang, Qiang Ma, Hao Wu, Rongshun Lai, Yangyang Zhang, Ping Liu, Tao Qi
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Scientific Reports
Subjects:
Sintered NdFeB
Machine learning
Deep learning
Multi-head self-attention mechanism
XGBoost
Online Access:https://doi.org/10.1038/s41598-024-79435-7
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