On the Electrical Connectivity of a 2-D, Randomly Distributed, Two-Component (Conducting/Insulating) Mixture

Abstract

The connectivity of nx2;n networks are studied as an analogy to two-component mixed cells, comprising conducting andinsulating components. The statistical realizations of the network and their probabilities are enumerated and tabulated in aneffort to determine the manner in which the probability of individual-linkage connectivity affects the overall likelihood ofnetwork connectivity. Two methods are examined, one in which the local conduction probability of each individual linkage inthe network is fixed, and a second in which the global fraction of conducting linkages in the network is constrained. The resultsindicate a threshold behavior, in which the probability (or global fraction) of conducting links, once reaching the threshold, aresufficient to trigger a high likelihood of connectivity across the network. As an aside, an approximate analytical approach is alsoshown, which becomes possible if restrictions are placed on the topology of the connecting pathway across the network.

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Document Details

Document Type
Technical Report
Publication Date
Jan 29, 2020
Accession Number
AD1090614

Entities

People

  • Steven B. Segletes

Organizations

  • United States Army Research Laboratory

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  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Boundary Layer
  • Cell Size
  • Cellular Structures
  • Computer Programs
  • Conductivity
  • Dielectrics
  • Electrical Conductivity
  • Geometry
  • Identification
  • Materials
  • Materials Laboratories
  • Mathematics
  • Military Research
  • Permutations
  • Physical Properties
  • Probability
  • Probability Distributions
  • Spatial Distribution
  • Statistical Analysis
  • Topology
  • Transitions
  • Two Dimensional

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Technology Areas

  • Microelectronics
  • Microelectronics - Microelectromechanical Systems