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Updated: Jun 21, 2025

Optimizing Magnetic Force Microscopy Resolution and Sensitivity to Visualize Nanoscale Magnetic Domains
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机器学习辅助探索内在旋转顺序的二维 (2D) 纳米磁铁

Subhasmita Kar1, Soumya Jyoti Ray1

  • 1Department of Physics, Indian Institute of Technology Patna, Bihta, 801103, India.

ACS applied materials & interfaces
|July 8, 2024
PubMed
概括

机器学习 (ML) 通过预测带隙和磁性 anisotropic 能量 (MAE) 等属性来加速 2D 磁性材料的发现. 这种方法增强了用于先进应用的材料探索.

关键词:
2D磁性材料是一种二维磁性材料.密度功能的理论密度功能的理论.机器学习是机器学习.材料的发现发现材料的发现.

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