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Videos de Conceptos Relacionados

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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Entropic Comparison of Atomic-Resolution Electron Tomography of Crystals and Amorphous Materials.

Physical review letters·2017
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Fluctuation microscopy analysis of amorphous silicon models.

Ultramicroscopy·2017
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Flexibility mechanisms in ideal zeolite frameworks.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2014
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Doped diamond-like carbon coatings for surgical instruments reduce protein and prion-amyloid biofouling and improve subsequent cleaning.

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Examination of a polycrystalline thin-film model to explore the relation between probe size and structural correlation length in fluctuation electron microscopy.

Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada·2012

Video Experimental Relacionado

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

La estructura local del silicio amorfo es el silicio amorfo.

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
Resumen

Se desafía el modelo de red aleatoria continua para el silicio amorfo. Los nuevos modelos paracristalinos también coinciden con los datos experimentales, lo que sugiere topologías estructurales alternativas para materiales amorfos.

Área de la Ciencia:

  • Ciencia de los materiales Ciencia de los materiales.
  • Física de la materia condensada Física de la materia condensada
  • Química del estado sólido.

Sus antecedentes:

  • El modelo de red aleatoria continua (CRN) es ampliamente aceptado para la estructura del silicio amorfo.
  • Las funciones experimentales de densidad reducida (RDF) de los estudios de difracción apoyan el modelo CRN.
  • La microscopía electrónica de fluctuación (FEM, por sus siglas en inglés) proporciona datos adicionales sobre la varianza estructural.

Objetivo del estudio:

  • Investigar la singularidad del modelo CRN en la representación de la estructura amorfa de silicio.
  • Explorar modelos estructurales alternativos consistentes con los datos experimentales.
  • Evaluar las implicaciones de los nuevos modelos estructurales para la ciencia de los materiales.

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Videos de Experimentos Relacionados

Last Updated: May 24, 2026

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

  • Utilizando un procedimiento de relajación estructural con restricciones experimentales.
  • Combinando datos de difracción de electrones para el análisis de RDF.
  • Incorporando datos de varianza de microscopía electrónica de fluctuación (FEM, por sus siglas en inglés).

Principales resultados:

  • El modelo CRN no es la única estructura que coincide con los datos experimentales de RDF.
  • Las estructuras paracristalinas inhomogéneas con ordenamiento cúbico local (10-20 angstroms) son consistentes con los RDF.
  • Estos modelos paracristalinos también coinciden con los datos de varianza de FEM, a diferencia del modelo CRN.

Conclusiones:

  • La topología estructural del silicio amorfo no está representada de manera única por el modelo CRN.
  • Los modelos paracristalinos ofrecen una alternativa viable consistente con los datos de difracción y FEM.
  • Los hallazgos tienen implicaciones más amplias para la comprensión de las transformaciones de fase en diversos materiales.