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相关概念视频

Magnetic Susceptibility and Permeability01:31

Magnetic Susceptibility and Permeability

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In linear magnetic materials, like paramagnets and diamagnets, magnetization is proportional to the magnetic field intensity. The constant of proportionality, a dimensionless number, is called magnetic susceptibility. The value of the susceptibility depends on the type of material.
When diamagnetic materials are placed under an external magnetic field, the moments opposite to the field are induced. Hence, the susceptibility for diamagnets has a minimal negative value of 10-5–10-6. Since...
2.3K
Ferromagnetism01:31

Ferromagnetism

3.0K
Materials like iron, nickel, and cobalt consist of magnetic domains, within which the magnetic dipoles are arranged parallel to each other. The magnetic dipoles are rigidly aligned in the same direction within a domain by quantum mechanical coupling among the atoms. This coupling is so strong that even thermal agitation at room temperature cannot break it. The result is that each domain has a net dipole moment. However, some materials have weaker coupling, and are ferromagnetic at lower...
3.0K
Magnetic Fields01:27

Magnetic Fields

7.1K
A moving charge or a current creates a magnetic field in the surrounding space, in addition to its electric field. The magnetic field exerts a force on any other moving charge or current that is present in the field. Like an electric field, the magnetic field is also a vector field. At any position, the direction of the magnetic field is defined as the direction in which the north pole of a compass needle points.
A magnetic field is defined by the force that a charged particle experiences...
7.1K
Magnetic Field Due To A Thin Straight Wire01:28

Magnetic Field Due To A Thin Straight Wire

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Consider an infinitely long straight wire carrying a current I. The magnetic field at point P at a distance a from the origin can be calculated using the Biot-Savart law.
6.1K
Diamagnetism01:26

Diamagnetism

2.9K
Materials consisting of paired electrons have zero net magnetic moments. However, when these materials are placed under an external magnetic field, the moments opposite to the field are induced. Such materials are called diamagnets. Diamagnetism is the response of the diamagnets when placed in an external magnetic field.
Diamagnetism was discovered by Anton Brugmans in 1778 when he observed that bismuth gets repelled by magnetic fields, thus theorizing that diamagnets get repelled by magnets....
2.9K
Magnetic Declination01:19

Magnetic Declination

378
Magnetic declination is the angle between true north, which aligns with the Earth's rotational axis, and magnetic north, which follows the direction of the Earth's magnetic field. This discrepancy exists because the magnetic poles do not coincide with the geographic poles. The value of magnetic declination depends on the observer's location on Earth and is subject to changes over time due to the dynamic nature of the Earth's magnetic field.The declination is called eastern when magnetic north...
378

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相关实验视频

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Optimized Setup and Protocol for Magnetic Domain Imaging with In Situ Hysteresis Measurement
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Optimized Setup and Protocol for Magnetic Domain Imaging with In Situ Hysteresis Measurement

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东北磁性材料材料数据库的磁性材料数据库

Suman Itani1, Yibo Zhang1,2, Jiadong Zang3

  • 1Deparment of Physics and Astronomy, University of New Hampshire, Durham, USA.

Nature communications
|October 24, 2025
PubMed
概括

研究人员使用大型语言模型 (LLM) 开发了东北材料数据库 (NEMAD),以加速发现高性能磁性材料. 这个数据库能够准确地预测磁性质,识别出有前途的新材料用于先进的应用.

科学领域:

  • 材料科学 材料科学 材料科学
  • 凝聚物质物理学 凝聚物质物理学
  • 计算材料科学科学 计算材料科学

背景情况:

  • 高性能磁性材料对于先进技术至关重要.
  • 现有的数据驱动方法受到不完整和不准确的材料数据库的阻碍.
  • 开发全面的,基于实验的数据库对于加速材料发现至关重要.

研究的目的:

  • 使用大型语言模型 (LLM) 创建一个全面的,基于实验的磁性材料数据库.
  • 为了实现材料发现的磁性属性的准确分类和预测.
  • 为了识别具有高操作温度范围的新型磁性材料.

主要方法:

  • 利用大型语言模型 (LLM) 来从实验源中自动提取数据.
  • 开发了东北材料数据库 (NEMAD) 拥有67573条条目,包括组成,磁性和结构数据.
  • 训练有素的机器学习模型用于材料分类 (铁磁,反铁磁,非磁) 和过渡温度预测.

主要成果:

  • NEMAD数据库为磁性材料研究提供了丰富的资源.
  • 机器学习分类实现了90%的准确性.
  • 回归模型准确地预测了基里 (尼尔) 温度,R2值为0.87 (0.83).

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Optimized Setup and Protocol for Magnetic Domain Imaging with In Situ Hysteresis Measurement

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Advanced Experimental Methods for Low-temperature Magnetotransport Measurement of Novel Materials

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  • 确定了25种铁磁性材料和13种反铁磁性材料的候选材料,预测过渡温度高.
  • 结论:

    • 简单的LLM可以有效地自动化数据提取,以创建全面的材料数据库.
    • 在NEMAD上训练的机器学习模型可以加速发现新型磁性材料.
    • 这种方法证明了发现高工作温度磁性材料的可行途径.