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Related Concept Videos

Metallic Solids02:37

Metallic Solids

20.0K
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....
20.0K
Trends in Lattice Energy: Ion Size and Charge02:54

Trends in Lattice Energy: Ion Size and Charge

26.0K
An ionic compound is stable because of the electrostatic attraction between its positive and negative ions. The lattice energy of a compound is a measure of the strength of this attraction. The lattice energy (ΔHlattice) of an ionic compound is defined as the energy required to separate one mole of the solid into its component gaseous ions. For the ionic solid sodium chloride, the lattice energy is the enthalpy change of the process:
26.0K
Ziegler–Natta Chain-Growth Polymerization: Overview01:17

Ziegler–Natta Chain-Growth Polymerization: Overview

3.7K
Ziegler–Natta polymerization is another form of addition or chain‐growth polymerization used for synthesizing linear polymers over branched polymers. The catalyst used for polymerization is the Ziegler–Natta catalyst, named after Karl Ziegler and Giulio Natta, who developed it in 1953. This catalyst is an organometallic complex of titanium tetrachloride and triethyl aluminum, with the active form of the catalyst being an alkyl titanium compound. Using the Ziegler–Natta...
3.7K
Network Covalent Solids02:18

Network Covalent Solids

15.6K
Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
15.6K
¹H NMR: Long-Range Coupling01:27

¹H NMR: Long-Range Coupling

2.3K
The coupling interactions of nuclei across four or more bonds are usually weak, with J values less than 1 Hz. While these are usually not observed in spectra, the presence of multiple bonds along the coupling pathway can result in observable long-range coupling.
In alkenes, spin information is communicated via σ–π overlap, as seen in allylic (four-bond) and homoallylic (five-bond) couplings. These coupling interactions are stronger when the σ bond is parallel to the alkene...
2.3K

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Updated: Nov 26, 2025

Methods of Ex Situ and In Situ Investigations of Structural Transformations: The Case of Crystallization of Metallic Glasses
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Methods of Ex Situ and In Situ Investigations of Structural Transformations: The Case of Crystallization of Metallic Glasses

Published on: June 7, 2018

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Short-Range Order in GeSn Alloy.

Boxiao Cao1, Shunda Chen1, Xiaochen Jin1

  • 1Department of Civil and Environmental Engineering, George Washington University, Washington, DC 20052, United States.

ACS Applied Materials & Interfaces
|December 11, 2020
PubMed
Summary
This summary is machine-generated.

Group IV alloys like Germanium-Tin (GeSn) are not random solid solutions as previously thought. This study reveals a short-range order in GeSn alloys that significantly impacts their electronic properties, improving band gap predictions.

Keywords:
GeSn alloyMonte Carloab initio calculationband gaprandom alloyshort-range order

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Area of Science:

  • Materials Science
  • Solid-State Physics
  • Semiconductor Research

Background:

  • Group IV alloys have been historically modeled as random solid solutions.
  • This assumption has underpinned the understanding and prediction of their properties for decades.
  • Current research explores alloys beyond equilibrium solubility for advanced device applications.

Purpose of the Study:

  • To investigate the true structural nature of Germanium-Tin (GeSn) alloys.
  • To determine if short-range order exists in GeSn across its composition range.
  • To assess the impact of short-range order on the electronic properties and band gap predictions of GeSn.

Main Methods:

  • Utilized statistical sampling techniques.
  • Performed large-scale *ab initio* calculations.
  • Incorporated canonical sampling to account for short-range order.

Main Results:

  • Demonstrated a clear short-range order for solute atoms in GeSn alloys across all compositions.
  • Showed that this short-range order significantly influences the electronic properties of GeSn.
  • Achieved improved band gap predictions for GeSn alloys that align excellently with experimental data.

Conclusions:

  • The findings necessitate a revision of the current structural models for Group IV alloys.
  • Short-range order may be a common phenomenon in various alloy systems.
  • This research advances the understanding of GeSn alloys for mid-infrared technology.