Solid Electrolytes: Mechanisms for Achieving Optimal Conductivity.

Abstract

In an attempt to understand mobility mechanisms, to predict optimal conduction conditions for solid electrolytes, and to develop methods for calculating conductivity in a classical many-body systems, calculations have been completed for a variety of one-, two-, and three-dimensional model lattice systems. These calculation involve Monte-Carlo simulation, self-consistent-field techniques, and reduced Langevin dynamics, and have been devoted to the actual calculation of the frequency-dependent conductivity tensor sigma omega, and of its variation with important experimental variables (concentration, pressure, temperature, trap sites, identify of mobile ion, lattice geometry). The ambition of this research has been to provide hard numerical data for three purposes: understanding and prediction of the effects of variation of external parameters (temperature, doping, compensation, ion exchange) on conductivity, comparison of good numerical data with extant formal theory to focus on the most important variables or achieving optimal conductivity, and development of a mechanistic model (including such extremes as hopping and liquid-like diffusion) to correlate the behaviors of a large number of framework conductors. Originator furnished keywords include: Solid electrolytes; batteries; ionic conductivity; conduction mechanisms; superionic conductors; diffusion in solids.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Nov 30, 1984
Accession Number
ADA150116

Entities

People

  • M. A. Ratner

Organizations

  • Northwestern University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Chemistry
  • Crystal Lattices
  • Crystal Structure
  • Energy
  • Equations
  • Geometry
  • Glass Transition Temperature
  • Low Temperature
  • Materials
  • Materials Science
  • Molecular Dynamics
  • Monte Carlo Method
  • Phase Transformations
  • Physical Chemistry
  • Scattering
  • Simulations
  • Transition Temperature

Fields of Study

  • Materials science

Readers

  • Materials Science and Engineering.
  • Quantum spin resonance or Electron Paramagnetic Resonance spectroscopy.
  • Theoretical Analysis.