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相关概念视频

Theory of Metallic Conduction01:17

Theory of Metallic Conduction

1.7K
The conduction of free electrons inside a conductor is best described by quantum mechanics. However, a classical model makes predictions close to the results of quantum mechanics. It is called the theory of metallic conduction.
In this theory, Newton's second law of motion is used to determine the acceleration of an electron in the presence of an applied electric field. Then, its velocity is expressed via this acceleration.
An electron moves through the crystal, containing positive ions,...
1.7K
Specific Heat01:16

Specific Heat

67.1K
The specific heat capacity of a substance refers to the energy required to increase the temperature of one gram of that substance by one degree Celcius. Specific heat capacity is often represented in calories (cal), grams (g), and degrees Celsius (oC), but can also be expressed in joules (J), kilograms (kg), and Kelvin (K), among other units.
For example, increasing the temperature of one gram of water by 1°C requires one calorie of heat energy and can be written as 1 cal/g-°C, or...
67.1K
Magnetic Susceptibility and Permeability01:31

Magnetic Susceptibility and Permeability

2.3K
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
Electrical Conductivity01:13

Electrical Conductivity

1.7K
In perfect conductors, the electric field inside is always zero due to the abundance of free electrons, which nullify any field by flowing. As a result, any residual charge resides on the surface.
In a practical conductor, an applied electric field may be sustained, causing a flow of electrons, which produce a current. The differential form of the current, the current density, is related to the electric field.
More generally, it is related to the force per unit charge, which involves the...
1.7K
Thermal expansion and Thermal stress: Problem Solving01:27

Thermal expansion and Thermal stress: Problem Solving

2.1K
San Francisco's Golden Gate Bridge is exposed to temperatures ranging from -15 °C to 40 °C. At its coldest, the main span of the bridge is 1275 m long. Assuming that the bridge is made entirely of steel, what is the change in its length between these temperatures?
To solve the problem, first, identify the known and unknown quantities. The initial length (L) of the bridge is 1275 m, the coefficient of linear expansion (α) for steel is 12 x 10-6/°C, and the change in temperature (ΔT) is 55...
2.1K

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相关实验视频

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Author Spotlight: Advancing Energy Solutions Using Nanocomposites as Processed Thermoelectric Materials
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基于机器学习潜力的晶体的导热性.

Xiao Tang1,2, Liangcai Wu1, Ziang Xu1

  • 1School of Physics, Donghua University, Shanghai 201620, China. lcwu@dhu.edu.cn.

Physical chemistry chemical physics : PCCP
|September 10, 2025
PubMed
概括

一个新的机器学习潜力准确地模拟.

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Demonstrating the Simplicity and In Situ Temperature Monitoring of the Mechanochemical Synthesis of Metal Chalcogenides Suitable for Thermoelectrics
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The Frequency Domain Thermoreflectance Technique for Thermal Property Measurements
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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
  • 计算化学计算化学

背景情况:

  • 的热传输特性对于热电应用至关重要.
  • 现有的实证潜力很难准确地模拟的声子运输.
  • 了解格子动力学是优化热电材料的关键.

研究的目的:

  • 为开发一个高精度的机器学习潜力 (MLP).
  • 准确模拟声子传输和热性质.
  • 研究和比较不同结构的热电潜力.

主要方法:

  • 使用初始分子动力学模拟生成的训练数据.
  • 开发并验证了一种机器学习潜力 (MLP).
  • 使用MLP计算了声子散射关系和热传输特性.

主要成果:

  • MLP准确地复制了声分散的密度函数理论结果.
  • 三角 (t-Se) 显示出比单临 (m-Se) 更高的导热率.
  • 与m-Se的环状结构相比,t-Se的链状结构促进了优越的热传输.

结论:

  • 由于带隙较小,t-Se的热电潜力优越,电导率明显更高,尽管晶格导热率更高.
  • 开发的MLP为研究的热和电子特性提供了可靠的工具.
  • 这项研究促进了对在热电器件应用中的理解.