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Trends in Lattice Energy: Ion Size and Charge02:54

Trends in Lattice Energy: Ion Size and Charge

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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:
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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.
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The Bewley lattice diagram, developed by L. V. Bewley, effectively organizes the reflections occurring during transmission-line transients. It visually represents how voltage waves propagate and reflect within a transmission line, making it easier to understand the complex interactions that occur.
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Metallic Solids

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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.
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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...
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Indirect Fabrication of Lattice Metals with Thin Sections Using Centrifugal Casting
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Lattice materials with topological states optimized on demand.

Pegah Azizi1, Rahul Dev Kundu2, Weichen Li2

  • 1Department of Civil, Environmental, and Geo- Engineering, University of Minnesota, Minneapolis, MN 55455.

Proceedings of the National Academy of Sciences of the United States of America
|August 5, 2025
PubMed
Summary

Researchers developed a new method to discover and create topological metamaterials for advanced wave manipulation. This approach uses topological quantum chemistry and topology optimization to engineer elastic lattices with desired topological properties.

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mechanical metamaterialstopological mechanicaltopology optimizationvibrometry testingwave control

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Area of Science:

  • Condensed Matter Physics
  • Materials Science
  • Acoustics

Background:

  • Topological states of matter, initially found in quantum systems, offer novel wave manipulation capabilities.
  • Realizing topological effects in elastic media necessitates identifying specific lattice structures supporting topological bands.
  • A significant gap exists between theoretically predicted topological states and their physical realization.

Purpose of the Study:

  • To present a systematic and efficient strategy for discovering metamaterials with specific topological states.
  • To bridge the gap between theoretical topological states and their practical realization in elastic media.
  • To enable the on-demand engineering of topological elastic lattices.

Main Methods:

  • Utilizing topological quantum chemistry to classify topological states based on symmetry properties at key wavevectors.
  • Translating topological character into computationally efficient objectives for topology optimization algorithms.
  • Incorporating phonon band structure morphology constraints into topology optimization and subsequent fabrication.

Main Results:

  • A novel strategy for the automated discovery of topological metamaterials.
  • Demonstration that topological classification can be simplified to band structure morphology for certain symmetries.
  • Successful physical realization of designed metamaterials with targeted topological properties.

Conclusions:

  • The developed methodology enables the systematic and efficient discovery of topological metamaterials.
  • This approach addresses the bottleneck in realizing topological states in elastic media.
  • Establishes a paradigm for on-demand engineering of topological elastic lattices and creating a database of configurations.