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Related Concept Videos

Metallic Solids02:37

Metallic Solids

18.3K
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....
18.3K
Structures of Solids02:22

Structures of Solids

14.0K
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...
14.0K
Molecular and Ionic Solids02:54

Molecular and Ionic Solids

17.0K
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...
17.0K
Network Covalent Solids02:18

Network Covalent Solids

13.4K
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...
13.4K
Lattice Centering and Coordination Number02:33

Lattice Centering and Coordination Number

9.6K
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...
9.6K
Crystal Field Theory - Octahedral Complexes02:58

Crystal Field Theory - Octahedral Complexes

26.3K
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...
26.3K

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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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First-principles data for solid solution niobium-tantalum-vanadium alloys with body-centered-cubic structures.

Massimiliano Lupo Pasini1, German Samolyuk2, Markus Eisenbach3

  • 1Oak Ridge National Laboratory, Computational Sciences and Engineering Division, Oak Ridge, 37831, USA. lupopasinim@ornl.gov.

Scientific Data
|August 22, 2024
PubMed
Summary
This summary is machine-generated.

Open-source datasets offer density functional theory (DFT) calculation results for refractory alloys Niobium-Tantalum, Niobium-Vanadium, Tantalum-Vanadium, and Niobium-Tantalum-Vanadium. These datasets detail ground-state properties and geometry optimization steps for various atomic configurations.

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Probe Type II Band Alignment in One-Dimensional Van Der Waals Heterostructures Using First-Principles Calculations
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Probe Type II Band Alignment in One-Dimensional Van Der Waals Heterostructures Using First-Principles Calculations

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Area of Science:

  • Materials Science
  • Computational Materials Science
  • Solid-State Physics

Background:

  • Refractory alloys like Niobium-Tantalum, Niobium-Vanadium, and Tantalum-Vanadium are crucial for high-temperature applications.
  • Understanding the ground-state properties of these alloys is essential for predicting their performance and stability.
  • Density functional theory (DFT) is a powerful computational tool for investigating material properties at the atomic level.

Purpose of the Study:

  • To provide open-source datasets of DFT calculations for binary (NbTa, NbV, TaV) and ternary (NbTaV) refractory alloys.
  • To systematically explore the ground-state properties across the entire compositional range of these alloys.
  • To release detailed information on geometry optimization steps for numerous atomic configurations.

Main Methods:

  • Utilized the Vienna Ab-Initio Simulation Package (VASP) for first-principles DFT calculations.
  • Employed uniform sampling of chemical compositions for binary and ternary alloy systems.
  • Generated 100 randomized atomic arrangements for each composition on body-centered-cubic (BCC) lattices.
  • Performed geometry optimization for all calculated atomic configurations.

Main Results:

  • Generated datasets for 3,100 randomized configurations across 31 compositions for each binary alloy.
  • Generated datasets for 10,500 randomized structures across 105 compositions for the ternary alloy.
  • The released data includes detailed step-by-step geometry optimization information for every atomic configuration.

Conclusions:

  • The open-source datasets facilitate further research into the properties of refractory BCC alloys.
  • The comprehensive sampling methodology ensures broad coverage of the compositional and configurational space.
  • These datasets serve as a valuable resource for materials scientists and computational physicists.