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Related Concept Videos

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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Few compounds act as strong acids. A far greater number of compounds behave as weak acids and only partially react with water, leaving a large majority of dissolved molecules in their original form and generating a relatively small amount of hydronium ions. Weak acids are commonly encountered in nature, being the substances partly responsible for the tangy taste of citrus fruits, the stinging sensation of insect bites, and the unpleasant smells associated with body odor. A familiar example of a...
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The ionic association is the association of oppositely charged ions in an electrolyte solution to form ion pairs. Bjerrum defined ion pairs as two oppositely charged ions whose electrostatic attraction exceeds the thermal energy of the system, typically expressed as 2kT. Electrostatic attraction depends on ionic charge, separation distance, and the dielectric constant of the medium. Thermal energy, represented by kT, reflects the tendency of ions to move independently due to molecular motion.
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Theory of Strong Electrolytes01:23

Theory of Strong Electrolytes

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The interionic forces of the strong electrolytes depend on the solvent's dielectric constant, which is the ability of a solvent to store electrical energy, based on its polarizability. and the solution's concentration. In high-dielectric solvents and in dilute solutions, weak electrostatic forces keep ions apart. However, in low-dielectric solvents or concentrated solutions, stronger interionic forces may cause ions to pair up as ionic doublets despite being fully ionized. The theory of strong...
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The Electrical Double Layer01:30

The Electrical Double Layer

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In the region where two bulk phases meet, an intricate electric charge distribution arises due to charge transfer, ion adsorption, molecular orientation, and charge distortion. This complex distribution is commonly referred to as the electrical double layer.When a solid electrode interfaces with ions in an electrolyte solution, the speed of electron transfer dictates the rates of oxidation and reduction. The electrode acquires a charge through the escape of atoms into the solution as cations or...
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Related Experiment Video

Updated: Apr 15, 2026

Solid-state Graft Copolymer Electrolytes for Lithium Battery Applications
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Machine Learning on Microstructure-Property Relationship of Lithium-Ion Conducting Oxide Solid Electrolytes.

Yue Zhang1,2, Xiaoyu Lin3, Wenbo Zhai1,2

  • 1School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China.

Nano Letters
|April 22, 2024
PubMed
Summary

This study introduces a new algorithmic framework to link microscopic images of solid oxide electrolytes to their ionic conductivity. This approach helps identify key microstructural features for designing highly conductive lithium-ion conductors.

Keywords:
garnet-type solid electrolyteionic conductivitymachine learningmicrostructure

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Area of Science:

  • Materials Science
  • Solid-State Chemistry
  • Electrochemistry

Background:

  • Understanding structure-property relationships in solid oxide electrolytes is crucial for advancing lithium-ion battery technology.
  • The microstructural complexity of non-ideal materials hinders the study of their ionic conductivity.
  • Developing efficient lithium-ion conductors is key for next-generation energy storage.

Purpose of the Study:

  • To develop an algorithmic framework for correlating microstructure morphology with ionic conductivity in solid oxide electrolytes.
  • To quantify microstructural features from images and link them to ionic conductivity.
  • To guide the synthesis of solid electrolytes with enhanced lithium-ion conductivity.

Main Methods:

  • Utilized an algorithmic framework to analyze microscopic morphology images of garnet and perovskite polycrystalline oxides.
  • Extracted quantitative physical parameters from images to characterize microstructure.
  • Correlated extracted microstructural parameters with measured ionic conductivities.

Main Results:

  • Successfully visualized the direct impact of specific physical parameters on ionic conductivity.
  • Identified critical microstructural features associated with high ionic conductivity in Li-ion conductors.
  • Demonstrated the framework's ability to predict and guide the synthesis of improved solid electrolytes.

Conclusions:

  • The developed algorithmic framework offers a novel approach to understanding microstructure-property relationships in solid-state ionic materials.
  • This method can guide the rational design and synthesis of highly conductive solid electrolytes.
  • The approach has potential applications for other functional ceramics in diverse fields.