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相关概念视频

Magnetic Vector Potential01:15

Magnetic Vector Potential

1.7K
In electrostatics, the electric field can be written as the negative gradient of the potential. In magnetostatics, the zero divergence of the magnetic field ensures that the magnetic field can be expressed as the curl of a vector potential. This potential is known as the magnetic vector potential.
Consider an ideal solenoid with n turns per unit length and radius R. If I is the current through the solenoid, the magnetic field inside the solenoid is expressed as the product of vacuum...
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Magnetic Susceptibility and Permeability01:31

Magnetic Susceptibility and Permeability

2.6K
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...
2.6K
Potential Due to a Magnetized Object01:24

Potential Due to a Magnetized Object

849
Magnetic dipoles in magnetic materials are aligned when placed under an external magnetic field. For paramagnets and ferromagnets, dipole alignment occurs in the direction of the magnetic field. However, the dipoles align opposite to the field in the case of diamagnets. This state of magnetic polarization due to the external field is called magnetization. Magnetization is defined as the dipole moment per unit volume. It plays a similar role to polarization in electrostatics.
The vector...
849
Magnetic Field Lines01:19

Magnetic Field Lines

6.2K
The representation of magnetic fields by magnetic field lines is very useful in visualizing the strength and direction of the magnetic field. Each of the magnetic field lines forms a closed loop. The field lines emerge from the north pole (N), loop around to the south pole (S), and continue through the bar magnet back to the north pole.
Magnetic field lines follow several hard-and-fast rules:
6.2K
Crystal Field Theory - Octahedral Complexes02:58

Crystal Field Theory - Octahedral Complexes

31.5K
Crystal Field Theory
To explain the observed behavior of transition metal complexes (such as colors), a model involving electrostatic interactions between the electrons from the ligands and the electrons in the unhybridized d orbitals of the central metal atom has been developed. This electrostatic model is crystal field theory (CFT). It helps to understand, interpret, and predict the colors, magnetic behavior, and some structures of coordination compounds of transition metals.
CFT focuses on...
31.5K
Magnetic Field due to Moving Charges01:23

Magnetic Field due to Moving Charges

12.1K
A stationary charge creates and interacts with the electric field, while a moving charge creates a magnetic field.
Consider a point charge moving with a constant velocity. Like the electric field, the magnetic field at any point is directly proportional to the magnitude of the charge and inversely proportional to the square of the distance between the source point and the field point. However, unlike the electric field, the magnetic field is always perpendicular to the plane containing the line...
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相关实验视频

Updated: Mar 13, 2026

Methods of Ex Situ and In Situ Investigations of Structural Transformations: The Case of Crystallization of Metallic Glasses
08:55

Methods of Ex Situ and In Situ Investigations of Structural Transformations: The Case of Crystallization of Metallic Glasses

Published on: June 7, 2018

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一个结晶图向向量方法用于预测磁性特性.

Sandeep Singh1, Abhishek Sharma2, Arti Kashyap3

  • 1School of Physical Sciences, Indian Institute of Technology Mandi, Mandi, Himachal Pradesh, 175075, India.

Scientific reports
|March 12, 2026
PubMed
概括

我们开发了CG-Vec,这是一个新的机器学习框架,用于预测材料特性. 它准确地模拟复杂的磁性和电子性质,特别是当数据有限时,为深度学习模型提供了一个实用的替代方案.

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Chemical Vapor Deposition of an Organic Magnet, Vanadium Tetracyanoethylene
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Chemical Vapor Deposition of an Organic Magnet, Vanadium Tetracyanoethylene

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Measuring Magnetically-Tuned Ferroelectric Polarization in Liquid Crystals
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Measuring Magnetically-Tuned Ferroelectric Polarization in Liquid Crystals

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相关实验视频

Last Updated: Mar 13, 2026

Methods of Ex Situ and In Situ Investigations of Structural Transformations: The Case of Crystallization of Metallic Glasses
08:55

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Chemical Vapor Deposition of an Organic Magnet, Vanadium Tetracyanoethylene
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Chemical Vapor Deposition of an Organic Magnet, Vanadium Tetracyanoethylene

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Measuring Magnetically-Tuned Ferroelectric Polarization in Liquid Crystals
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科学领域:

  • 材料科学 材料科学 材料科学
  • 计算化学计算化学
  • 机器学习 机器学习

背景情况:

  • 通过计算预测材料特性对于材料发现至关重要.
  • 当前的深度图形网络模型在大型数据集上表现出色,但在有限的数据上扎,特别是磁性特性.
  • 现有的方法往往缺乏可解释性和可扩展性.

研究的目的:

  • 介绍CG-Vec,一个晶体图-向向量框架.
  • 开发一种准确,可解释和高效的机器学习方法,特别是在数据稀缺的情况下.
  • 能够可靠地预测各种材料的特性,包括磁性特性.

主要方法:

  • 取代了以紧,可解释的描述符在图形网络中传递的代信息.
  • 将这些描述符与传统的机器学习算法结合起来.
  • 验证了对磁性,形成能量和带隙性质的各种数据集的框架.

主要成果:

  • 在大型数据集上,CG-Vec与深度图形网络的准确性相匹配.
  • 在数据稀缺制度中,CG-Vec的表现大大超过了深度图形网络.
  • 实现了磁化 (铁磁和铁磁) 和库里温度的可靠预测.
  • 在形成能量和频段差距预测方面表现出具有竞争力的性能.

结论:

  • 矢量化表示为材料建模的深度架构提供了一个实用且可扩展的替代方案.
  • CG-Vec使复杂材料属性的高效和可解释的预测成为可能.
  • 该框架在不同的物质性质类型中显示了广泛的适用性.