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相关概念视频

Metallic Solids02:37

Metallic Solids

18.5K
Metallic solids such as crystals of copper, aluminum, and iron are formed by metal atoms. The structure of metallic crystals is often described as a uniform distribution of atomic nuclei within a “sea” of delocalized electrons. The atoms within such a metallic solid are held together by a unique force known as metallic bonding that gives rise to many useful and varied bulk properties.
All metallic solids exhibit high thermal and electrical conductivity, metallic luster, and malleability....
18.5K
Temperature Dependent Deformation01:12

Temperature Dependent Deformation

174
In a nonhomogeneous rod made up of steel and brass, restrained at both ends and subjected to a temperature change, several steps are involved in calculating the stress and compressive load. Due to the problem's static indeterminacy, one end support is disconnected, allowing the rod to experience the temperature change freely. Next, an unknown force is applied at the free end, triggering deformations in the rod's steel and brass portions. These deformations are then calculated and added...
174
Molecular and Ionic Solids02:54

Molecular and Ionic Solids

17.3K
Crystalline solids are divided into four types: molecular, ionic, metallic, and covalent network based on the type of constituent units and their interparticle interactions.
Molecular Solids
Molecular crystalline solids, such as ice, sucrose (table sugar), and iodine, are solids that are composed of neutral molecules as their constituent units. These molecules are held together by weak intermolecular forces such as London dispersion forces, dipole-dipole interactions, or hydrogen bonds, which...
17.3K
Relation between Poisson's ratio, Modulus of Elasticity and Modulus of Rigidity01:15

Relation between Poisson's ratio, Modulus of Elasticity and Modulus of Rigidity

296
Deformation occurs in axial and transverse directions when an axial load is applied to a slender bar. This deformation impacts the cubic element within the bar, transforming it into either a rectangular parallelepiped or a rhombus, contingent on its orientation. This transformation process induces shearing strain. Axial loading elicits both shearing and normal strains. Applying an axial load instigates equal normal and shearing stresses on elements oriented at a 45° angle to the load axis.
296
Common Ion Effect03:24

Common Ion Effect

41.9K
Compared with pure water, the solubility of an ionic compound is less in aqueous solutions containing a common ion (one also produced by dissolution of the ionic compound). This is an example of a phenomenon known as the common ion effect, which is a consequence of the law of mass action that may be explained using Le Châtelier’s principle. Consider the dissolution of silver iodide:
41.9K
Deformation of Member under Multiple Loadings01:11

Deformation of Member under Multiple Loadings

192
When a rod is made of different materials or has various cross-sections, it must be divided into parts that meet the necessary conditions for determining the deformation. These parts are each characterized by their internal force, cross-sectional area, length, and modulus of elasticity. These parameters are then used to compute the deformation of the entire rod.
In the case of a member with a variable cross-section, the strain is not constant but depends on the position. The deformation of an...
192

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相关实验视频

Updated: Jul 24, 2025

Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package
06:37

Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package

Published on: September 17, 2021

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在基于Mg的合金中,机器学习的位移密度相关性和溶解物效应.

H Salmenjoki1, S Papanikolaou2, D Shi3

  • 1Department of Applied Physics, Aalto University, PO Box 11000, 00076, Aalto, Finland.

Scientific reports
|July 10, 2023
PubMed
概括

这项研究研究了将添加到合金中如何影响它们的柔性. 对电子反散射衍射图像的机器学习分析揭示了突变密度变化的洞察力,有助于开发更强,更可塑的材料.

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Co-localizing Kelvin Probe Force Microscopy with Other Microscopies and Spectroscopies: Selected Applications in Corrosion Characterization of Alloys
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Determining the Mechanical Strength of Ultra-Fine-Grained Metals

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相关实验视频

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Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package
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Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package

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Co-localizing Kelvin Probe Force Microscopy with Other Microscopies and Spectroscopies: Selected Applications in Corrosion Characterization of Alloys
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Determining the Mechanical Strength of Ultra-Fine-Grained Metals
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科学领域:

  • 材料科学与工程 材料科学与工程
  • 计算材料科学科学 计算材料科学
  • 金工业是金工业的一个方面.

背景情况:

  • 合金重量轻,但由于强度和柔性低而受到限制.
  • 固体溶液合金,特别是 (Zn),可以增强的柔性和可塑性.
  • 在中溶解物诱导的柔性改善背后的确切机制仍然不清楚.

研究的目的:

  • 研究多晶和Mg-Zn合金中脱位密度的演变.
  • 运用数据科学和机器学习来了解细粒内特征和菌株历史.
  • 预测 Mg-Zn 系统中合金和变形后的脱位密度变化.

主要方法:

  • 使用数据科学对内部细分特征进行高通量分析.
  • 机器学习技术的应用在电子背散射衍射 (EBSD) 图像上.
  • 合金化前后的EBSD数据的比较,以及变形前后的比较,以提取菌株历史和预测脱位密度.

主要成果:

  • 机器学习模型实现了适度的预测准确性 (R平方0.250.32) 的位移密度.
  • 这些预测是基于大约5000个亚毫米粒的数据集.
  • 该研究成功地将合金和变形与脱位密度的变化相关联.

结论:

  • 数据科学和机器学习方法对研究合金中的微观结构演变充满希望.
  • 这些发现为了解和优化Mg-Zn合金的机械性能提供了基础.
  • 用更大的数据集进行进一步的研究可以提高用于增强材料设计的预测能力.