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相关概念视频

Structures of Solids02:22

Structures of Solids

Solids in which the atoms, ions, or molecules are arranged in a definite repeating pattern are known as crystalline solids. Metals and ionic compounds typically form ordered, crystalline solids. A crystalline solid has a precise melting temperature because each atom or molecule of the same type is held in place with the same forces or energy. Amorphous solids or non-crystalline solids (or, sometimes, glasses) which lack an ordered internal structure and are randomly arranged. Substances that...
Ionic Crystal Structures02:42

Ionic Crystal Structures

Ionic crystals consist of two or more different kinds of ions that usually have different sizes. The packing of these ions into a crystal structure is more complex than the packing of metal atoms that are the same size.
Most monatomic ions behave as charged spheres, and their attraction for ions of opposite charge is the same in every direction. Consequently, stable structures for ionic compounds result (1) when ions of one charge are surrounded by as many ions as possible of the opposite...
Types of Semiconductors01:20

Types of Semiconductors

Intrinsic semiconductors are highly pure materials with no impurities. At absolute zero, these semiconductors behave as perfect insulators because all the valence electrons are bound, and the conduction band is empty, disallowing electrical conduction. The Fermi level is a concept used to describe the probability of occupancy of energy levels by electrons at thermal equilibrium. In intrinsic semiconductors, the Fermi level is positioned at the midpoint of the energy gap at absolute zero. When...
Metallic Solids02:37

Metallic Solids

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. Many...
Polymer Classification: Crystallinity01:21

Polymer Classification: Crystallinity

Unlike ionic or small covalent molecules, polymers do not form crystalline solids due to the diffusion limitations of their long-chain structures. However, polymers contain microscopic crystalline domains separated by amorphous domains.
Crystalline domains are the regions where polymer chains are aligned in an orderly manner and held together in proximity by intermolecular forces. For example, chains in the crystalline domains of polyethylene and nylon are bound together by van der Waals...
Lattice Centering and Coordination Number02:33

Lattice Centering and Coordination Number

The structure of a crystalline solid, whether a metal or not, is best described by considering its simplest repeating unit, which is referred to as its unit cell. The unit cell consists of lattice points that represent the locations of atoms or ions. The entire structure then consists of this unit cell repeating in three dimensions. The three different types of unit cells present in the cubic lattice are illustrated in Figure 1.
Types of Unit Cells
Imagine taking a large number of identical...

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相关实验视频

Updated: May 24, 2026

Theoretical Calculation and Experimental Verification for Dislocation Reduction in Germanium Epitaxial Layers with Semicylindrical Voids on Silicon
06:57

Theoretical Calculation and Experimental Verification for Dislocation Reduction in Germanium Epitaxial Layers with Semicylindrical Voids on Silicon

Published on: July 17, 2020

无形的局部结构

M M J Treacy1, K B Borisenko

  • 1Department of Physics, Arizona State University, Tempe, AZ 85287, USA. treacy@asu.edu

Science (New York, N.Y.)
|February 25, 2012
PubMed
概括

对无形的连续随机网络模型受到挑战. 新的准晶体模型也与实验数据相匹配,为无形材料提供了替代结构拓.

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
  • 固态化学 固态化学

背景情况:

  • 连续随机网络 (CRN) 模型被广泛接受,用于无形的结构.
  • 来自衍射研究的实验性减少密度函数 (RDF) 支持CRN模型.
  • 波动电子显微镜 (FEM) 提供了额外的结构方差数据.

研究的目的:

  • 调查CRN模型在表示无形结构方面的独特性.
  • 探索与实验数据相一致的替代结构模型.
  • 评估新结构模型对材料科学的影响.

主要方法:

  • 使用具有实验约束的结构松程序.
  • 结合电子衍射数据用于RDF分析.
  • 结合波动电子显微镜 (FEM) 的方差数据.

主要成果:

  • 而CRN模型并不是唯一匹配实验RDF数据的结构.
  • 具有局部立方体排序 (10-20 斯特) 的不均的对晶体结构与 RDFs 相一致.
  • 这些准晶体模型也与FEM差异数据相匹配,与CRN模型不同.

更多相关视频

Probing C84-embedded Si Substrate Using Scanning Probe Microscopy and Molecular Dynamics
13:58

Probing C84-embedded Si Substrate Using Scanning Probe Microscopy and Molecular Dynamics

Published on: September 28, 2016

Fabrication and Optimization of Type II Silicon Clathrate Films
06:53

Fabrication and Optimization of Type II Silicon Clathrate Films

Published on: October 14, 2025

相关实验视频

Last Updated: May 24, 2026

Theoretical Calculation and Experimental Verification for Dislocation Reduction in Germanium Epitaxial Layers with Semicylindrical Voids on Silicon
06:57

Theoretical Calculation and Experimental Verification for Dislocation Reduction in Germanium Epitaxial Layers with Semicylindrical Voids on Silicon

Published on: July 17, 2020

Probing C84-embedded Si Substrate Using Scanning Probe Microscopy and Molecular Dynamics
13:58

Probing C84-embedded Si Substrate Using Scanning Probe Microscopy and Molecular Dynamics

Published on: September 28, 2016

Fabrication and Optimization of Type II Silicon Clathrate Films
06:53

Fabrication and Optimization of Type II Silicon Clathrate Films

Published on: October 14, 2025

结论:

  • 无形的结构拓不是唯一由CRN模型表示.
  • 准晶体模型提供了一个可行的替代方案,与衍射和FEM数据相一致.
  • 这些发现对理解各种材料的相位转换具有更广泛的意义.