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相关概念视频

Superconductor01:24

Superconductor

1.2K
A substance that reaches superconductivity, a state in which magnetic fields cannot penetrate, and there is no electrical resistance, is referred to as a superconductor. In 1911, Heike Kamerlingh Onnes of Leiden University, a Dutch physicist, observed a relation between the temperature and the resistance of the element mercury. The mercury sample was then cooled in liquid helium to study the linear dependence of resistance on temperature. It was observed that, as the temperature decreased, the...
1.2K
Types Of Superconductors01:28

Types Of Superconductors

1.0K
A superconductor is a substance that offers zero resistance to the electric current when it drops below a critical temperature. Zero resistance is not the only interesting phenomenon as materials reach their transition temperatures. A second effect is the exclusion of magnetic fields. This is known as the Meissner effect. A light, permanent magnet placed over a superconducting sample will levitate in a stable position above the superconductor. High-speed trains that levitate on strong...
1.0K
Theory of Metallic Conduction01:17

Theory of Metallic Conduction

1.4K
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,...
1.4K
Atomic Spectroscopy: Effects of Temperature01:27

Atomic Spectroscopy: Effects of Temperature

372
Atomization, converting samples into gas-phase atoms and ions, is essential for atomic spectroscopy. The flame temperature required for atomization affects the efficiency of the atomic spectroscopic methods by increasing the atomization efficiency and the relative population of the excited and ground states.
At thermal equilibrium, the relative populations of excited and ground state atoms can be estimated using the Maxwell–Boltzmann distribution. For example, an increase in temperature...
372
Ferromagnetism01:31

Ferromagnetism

2.4K
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...
2.4K
¹H NMR of Conformationally Flexible Molecules: Variable-Temperature NMR01:15

¹H NMR of Conformationally Flexible Molecules: Variable-Temperature NMR

1.1K
The axial and equatorial protons in cyclohexane can be distinguished by performing a variable-temperature NMR experiment. In this process, except for one proton, the remaining eleven protons are replaced by deuterium. The deuterium substitution avoids the possible peak splitting caused by the spin-spin coupling between the adjacent protons. The remaining proton flips between the axial and equatorial positions.
1.1K

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

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在液温度以上的酸超导材料来自机器学习的机器学习.

Yuxue Wang1,2,3, Tianhao Su1,2,3, Yaning Cui1,2,3

  • 1Department of Physics, Material Genome Institute, Institute for the Conservation of Cultural Heritage, Shanghai University Shanghai 200444 China renwei@shu.edu.cn shunbohu@shu.edu.cn.

RSC advances
|July 5, 2023
PubMed
概括

机器学习模型将酸盐识别为高温超导的有希望的候选者. 共价键的长度和孔剂度是影响临界温度的关键因素,指导着未来的材料发现.

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Visualizing Uniaxial-strain Manipulation of Antiferromagnetic Domains in Fe1+YTe Using a Spin-polarized Scanning Tunneling Microscope
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Visualizing Uniaxial-strain Manipulation of Antiferromagnetic Domains in Fe1+YTe Using a Spin-polarized Scanning Tunneling Microscope

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Comparison of Two Different Synthesis Methods of Single Crystals of Superconducting Uranium Ditelluride
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Comparison of Two Different Synthesis Methods of Single Crystals of Superconducting Uranium Ditelluride

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Visualizing Uniaxial-strain Manipulation of Antiferromagnetic Domains in Fe1+YTe Using a Spin-polarized Scanning Tunneling Microscope
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Comparison of Two Different Synthesis Methods of Single Crystals of Superconducting Uranium Ditelluride
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科学领域:

  • 凝聚物质物理学 凝聚物质物理学
  • 材料科学是一种材料科学.
  • 人工智能在科学发现中的作用

背景情况:

  • 铜中的超导性是一个复杂的挑战,对未来的技术有重大影响.
  • 对于超过液温度的应用,人们正在寻找高温超导体.

研究的目的:

  • 研究机器学习 (ML) 模型,用于预测材料中的超导特性.
  • 确定控制超导体临界温度 (Tc) 的关键物理因素.

主要方法:

  • 采用了两个不同的原子特征集的深度神经网络 (DNN):元素符号 (AFS-1) 和物理信息 (AFS-2).
  • 利用夏普利添加式扩展 (SHAP) 来确定特征的重要性.
  • 开发了一个虚拟的高通量搜索工作流.

主要成果:

  • 酸盐被确定为具有超导性的高潜力.
  • 发现共价键的长度和孔 doping 度是影响 Tc 的关键因素.
  • ML模型分析揭示了对超导的基础物理学的洞察力.

结论:

  • 机器学习,特别是带有组合描述符的DNN,可以有效地指导对新型超导材料的搜索.
  • 这些发现强化了共价键长度和化在酸盐超导性中的重要性.
  • 拟议的工作流提高了ML驱动的材料发现的稳定性和实用性.