Designing Networks that are Capable of Self-Healing and Adapting

Abstract

Using tools from statistical mechanics, combinatorics, boolean networks, and numerical simulations, and inspired by design principles from biological networks, we will undertake the following objectives: Quantify the effects of local damage and develop strategies for absorbing it, develop topological design principles for self-healing networks, and applications, and construct an all-possible-paths model for network adaptation.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2017
Accession Number
AD1035122

Entities

People

  • Guido Caldarelli
  • John Harer
  • Thomas Finks

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Complex Systems
  • Department Of Defense
  • Dynamics
  • Electrical Grids
  • Energy
  • Energy Management
  • Load Monitoring
  • Measurement
  • Mechanics
  • Networks
  • Numbers
  • Physics
  • Radiation
  • Renewable Energy
  • Resilience
  • Simulations
  • Statistical Mechanics

Readers

  • Computational Modeling and Simulation
  • Operations Research
  • Reinforced Composite Materials