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Related Concept Videos

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...
Bonding in Metals02:32

Bonding in Metals

Metallic bonds are formed between two metal atoms. A simplified model to describe metallic bonding has been developed by Paul Drüde called the “Electron Sea Model”.
Phase Transitions: Melting and Freezing02:39

Phase Transitions: Melting and Freezing

Heating a crystalline solid increases the average energy of its atoms, molecules, or ions, and the solid gets hotter. At some point, the added energy becomes large enough to partially overcome the forces holding the molecules or ions of the solid in their fixed positions, and the solid begins the process of transitioning to the liquid state or melting. At this point, the temperature of the solid stops rising, despite the continual input of heat, and it remains constant until all of the solid is...
Molecular and Ionic Solids02:54

Molecular and Ionic Solids

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...
Theory of Metallic Conduction01:17

Theory of Metallic Conduction

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,...
Crystal Field Theory - Octahedral Complexes02:58

Crystal Field Theory - Octahedral Complexes

Crystal Field Theory
To explain the observed behavior of transition metal complexes (such as colors), a model involving electrostatic interactions between the electrons from the ligands and the electrons in the unhybridized d orbitals of the central metal atom has been developed. This electrostatic model is crystal field theory (CFT). It helps to understand, interpret, and predict the colors, magnetic behavior, and some structures of coordination compounds of transition metals.
CFT focuses on...

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Methods of Ex Situ and In Situ Investigations of Structural Transformations: The Case of Crystallization of Metallic Glasses
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Melting scenario in metallic clusters.

P J Hsu1, J S Luo, S K Lai

  • 1Complex Liquids Laboratory, Department of Physics, National Central University, Chungli 320, Taiwan.

The Journal of Chemical Physics
|November 26, 2008
PubMed
Summary
This summary is machine-generated.

Molecular dynamics simulations reveal that common melting point indicators conflict for bimetallic clusters. Analyzing atomic dynamics provides a more consistent melting temperature for these systems.

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Area of Science:

  • Materials Science
  • Computational Chemistry
  • Condensed Matter Physics

Background:

  • Solid-liquid transitions in bulk materials are typically characterized by specific heat and Lindemann parameters.
  • Bimetallic clusters exhibit unique thermal behaviors due to their reduced dimensionality and alloying effects.

Purpose of the Study:

  • To investigate the melting behavior of bimetallic clusters using isothermal Brownian-type molecular dynamics.
  • To analyze the incongruity in melting temperatures predicted by different methods for bimetallic systems.
  • To compare the thermal dynamics of bimetallic clusters with pure clusters.

Main Methods:

  • Isothermal Brownian-type molecular dynamics simulations.
  • Calculation of specific heat and Lindemann-like parameters.
  • Analysis of velocity autocorrelation function and power spectrum.
  • Comparative study of atomic distributions and dynamics in bimetallic (Ag(1)Cu(13), Au(1)Cu(13)) and pure (Cu(14)) clusters.

Main Results:

  • Discrepancies were observed in melting temperatures (T(melt)) derived from specific heat and Lindemann parameters.
  • Melting temperatures derived from velocity autocorrelation functions and power spectra align better with specific heat peak positions.
  • Atomic dynamics evolve from migration to permutation and finally to liquid-like behavior as temperature approaches T(melt).

Conclusions:

  • Standard bulk methods for determining melting points are not directly transferable to bimetallic clusters due to incongruent results.
  • Velocity autocorrelation functions offer a more reliable method for determining T(melt) in bimetallic clusters.
  • Impurity atoms in bimetallic clusters exhibit distinct thermal dynamics compared to atoms in pure clusters.