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Trends in Lattice Energy: Ion Size and Charge

Trends in Lattice Energy: Ion Size and Charge

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:

Ampere's Law in Matter

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The total current density in magnetized material is the sum of the free and bound current densities. The free current arises due to the motion of free electrons within the material, while the bound current arises due to the alignment of magnetic dipole moments.
The differential form of Ampere's law in vacuum states that the curl of the magnetic field equals the permeability times the current density. In a magnetized material, the law is modified to incorporate the free and bound current...

Energy Associated With a Charge Distribution

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The work done to bring a charge through a distance r is given by the potential difference between the initial and the final position. To assemble a collection of point charges, the total work done can be expressed in terms of the product of each pair of charges divided by their separation distance, defined with respect to a suitable origin. Solving this expression gives the energy stored in a point charge distribution.

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Updated: Jan 12, 2026

Preparation and Reactivity of Gasless Nanostructured Energetic Materials

Preparation and Reactivity of Gasless Nanostructured Energetic Materials

Published on: April 2, 2015

A Computational Renaissance in High-Energy Density Materials (HEDMs) Research.

Haixiang Gao¹, Jane S Murray², Jean'ne M Shreeve³

¹Department of Applied Chemistry, China Agricultural University, Beijing, 100193 China.

Chemical Reviews

|November 3, 2025

Summary

This summary is machine-generated.

Computational approaches are revolutionizing high-energy-density materials (HEDMs). This review highlights the synergy between predictive theory and experimentation for safer, data-driven HEDM design.

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Area of Science:

Materials Science
Computational Chemistry
Chemical Engineering

Background:

High-energy-density materials (HEDMs) present a critical performance-safety tradeoff.
Traditional empirical discovery methods face limitations in HEDM development.
Computational approaches offer new avenues for understanding and designing HEDMs.

Purpose of the Study:

To review advances in computational methods for HEDMs.
To illustrate the integration of predictive theory and experimentation.
To outline future directions for data-driven HEDM design.

Main Methods:

Physics-based modeling including quantum chemistry.
Multiscale dynamics simulations.
Iterative feedback loop between simulation and experimental validation.

Main Results:

Computational methods provide insights into HEDM stability and emergent behavior.
The fusion of theory and experimentation accelerates rational design.
A paradigm shift from empirical discovery to data-driven design is evident.

Conclusions:

Computational approaches are transforming HEDM science.
Future HEDMs will be safer, more sustainable, and higher-performing.
Continued integration of simulation and experimentation is key for future advancements.