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Related Concept Videos

Network Covalent Solids02:18

Network Covalent Solids

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.
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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:
The Electrical Double Layer01:30

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Updated: May 31, 2026

Preparation of Graphene Liquid Cells for the Observation of Lithium-ion Battery Material
10:53

Preparation of Graphene Liquid Cells for the Observation of Lithium-ion Battery Material

Published on: February 5, 2019

Lithium ion storage between graphenes.

Yue Chan1, James M Hill

  • 1Nanomechanics Group, School of Mathematical Sciences, The University of Adelaide, Adelaide, SA 5005, Australia. yue.chan@adelaide.edu.au.

Nanoscale Research Letters
|June 30, 2011
PubMed
Summary
This summary is machine-generated.

This study explores lithium ion storage in graphene layers, finding triple layers offer highest capacity and double layers are best for charge-discharge. These configurations surpass graphite

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Area of Science:

  • Materials Science
  • Electrochemistry
  • Computational Chemistry

Background:

  • Graphene's unique properties make it a promising material for advanced energy storage solutions.
  • Understanding lithium ion interactions within graphene structures is crucial for developing high-performance batteries.

Purpose of the Study:

  • To investigate lithium ion storage configurations between two parallel graphene sheets.
  • To evaluate the storage capacity and stability of different ionic layer arrangements.
  • To identify optimal configurations for enhanced lithium storage in graphene-based anodes.

Main Methods:

  • Utilizing the continuous approximation and the 6-12 Lennard-Jones potential for interaction modeling.
  • Approximating total interaction potential through surface integrations of uniform carbon atom distributions.
  • Estimating lithium ion number densities using semi-empirical molecular orbital calculations.

Main Results:

  • Identified three distinct ionic configurations: single, double, and triple ion layers.
  • Triple ion layers exhibit the largest storage capacity across all temperatures.
  • Double ion layers are preferred for charge-discharge properties, exceeding graphite's theoretical capacity.
  • Single ion layers offer the least storage but demonstrate the highest stability.

Conclusions:

  • Graphene-based anodes with multi-layered ion configurations can achieve superior lithium storage capacity.
  • The triple ion layer configuration maximizes storage, while the double ion layer configuration balances capacity and charge-discharge performance.
  • Analytical formulations derived from this study can accelerate the design of high energy density alkali batteries.