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Related Concept Videos

Ionic Radii03:10

Ionic Radii

33.9K
Ionic radius is the measure used to describe the size of an ion. A cation always has fewer electrons and the same number of protons as the parent atom; it is smaller than the atom from which it is derived. For example, the covalent radius of an aluminum atom (1s22s22p63s23p1) is 118 pm, whereas the ionic radius of an Al3+ (1s22s22p6) is 68 pm. As electrons are removed from the outer valence shell, the remaining core electrons occupying smaller shells experience a greater effective nuclear...
33.9K
Ionic Bonds00:42

Ionic Bonds

132.2K
Overview
When atoms gain or lose electrons to achieve a more stable electron configuration they form ions. Ionic bonds are electrostatic attractions between ions with opposite charges. Ionic compounds are rigid and brittle when solid and may dissociate into their constituent ions in water. Covalent compounds, by contrast, remain intact unless a chemical reaction breaks them.
Opposing Charges Hold Ions Together in Ionic Compounds
Ionic bonds are reversible electrostatic interactions between ions...
132.2K
Molecular and Ionic Solids02:54

Molecular and Ionic Solids

20.3K
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...
20.3K
Solubility of Ionic Compounds02:55

Solubility of Ionic Compounds

68.3K
Solubility is the measure of the maximum amount of solute that can be dissolved in a given quantity of solvent at a given temperature and pressure. Solubility is usually measured in molarity (M) or moles per liter (mol/L). A compound is termed soluble if it dissolves in water.
68.3K
Ionic Crystal Structures02:42

Ionic Crystal Structures

17.9K
Ionic crystals consist of two or more different kinds of ions that usually have different sizes. The packing of these ions into a crystal structure is more complex than the packing of metal atoms that are the same size.
Most monatomic ions behave as charged spheres, and their attraction for ions of opposite charge is the same in every direction. Consequently, stable structures for ionic compounds result (1) when ions of one charge are surrounded by as many ions as possible of the opposite...
17.9K
Correlations02:20

Correlations

36.6K
Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
36.6K

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Pretreatment of Lignocellulosic Biomass with Low-cost Ionic Liquids
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Ionic Correlations in Random Ionomers.

Boran Ma, Trung Dac Nguyen, Victor A Pryamitsyn

    ACS Nano
    |March 2, 2018
    PubMed
    Summary
    This summary is machine-generated.

    Electrostatic interactions in ion-containing polymers drive the formation of branched nanostructures. Charge polydispersity leads to percolated and bicontinuous structures, crucial for designing advanced materials.

    Keywords:
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    Area of Science:

    • Polymer Science
    • Materials Science
    • Computational Chemistry

    Background:

    • Understanding electrostatic interactions in ion-containing polymers is key for applications like shape memory polymers and ion-conducting membranes.
    • Low dielectric permittivity in molten polymers causes strong ionic correlations and charge clustering.

    Purpose of the Study:

    • To investigate how electrostatic interactions influence the nanostructure of randomly charged polymers (ionomers).
    • To identify the percolation point of ionic branched nanostructures and analyze aggregate statistics.

    Main Methods:

    • Coarse-grained molecular dynamics simulations were employed.
    • Analysis focused on the influence of electrostatic interaction strength and charge polydispersity.

    Main Results:

    • Increasing electrostatic interaction strength leads to densely packed, charged branched structures.
    • Charge polydispersity and ion correlations result in percolated nanostructures with long-range fluctuations.
    • Bicontinuous structures and desirable percolated ionic networks were observed.

    Conclusions:

    • Electrostatic interactions significantly dictate ionomer nanostructure.
    • Charge polydispersity offers an additional design parameter for creating robust, conducting nanostructures.
    • Findings inform the design of advanced ion-containing polymers for energy applications.