A first principles model and numeric solution methods for a system of self-organizing conductors

Stephenson, Cory Ryan

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https://hdl.handle.net/2142/101167 Copy

Description

Title

A first principles model and numeric solution methods for a system of self-organizing conductors

Author(s)

Stephenson, Cory Ryan

Issue Date

2018-04-17

Director of Research (if dissertation) or Advisor (if thesis)

Hubler, Alfred W.

Doctoral Committee Chair(s)

Bezryadin, Alexey

Committee Member(s)

• Dahmen, Karin A.
• Perdekamp, Mattias G
• Weaver, Richard

Department of Study

Physics

Discipline

Physics

Degree Granting Institution

University of Illinois at Urbana-Champaign

Degree Name

Ph.D.

Degree Level

Dissertation

Date of Ingest

2018-09-04T20:34:06Z

Keyword(s)

Self-Organization

Abstract

Electrical networks have long been studied in the context of non-equilibrium thermodynamics, particularly in the linear regime, due to both their theoretical convenience and their experimental accessibility. Of more recent interest is the behaviour of self-organizing electrical networks which necessarily exist in the non-linear regime where several proposed non-equilibrium thermodynamic principles are conjectured to apply. However, extension of conventional electrical network models to this regime is challenging due to the requirement that the topology of the network be dynamic. Additionally, the system dynamics must be modelled in a way that retains the essential physics while still being numerically solvable. In this work, we develop a first-principles model of a system of electrically conducting particles which self-organizes to form complex electrical networks. The resulting model contains many non-linear interactions between the constituents, and so we develop the methods necessary to numerically integrate the equations of motion efficiently. This leads to a new method of numerically calculating the forces between conducting objects in a dynamic configuration. We then use these methods to reproduce experimental results regarding the network topology, and find that our model is in agreement with experiment. Interestingly, we observe that the model predicts various measures of the network topology remain constant during the self-organization process. These developments may be applied in further exploration of principles regarding energy dissipation and entropy production in electrical networks beyond the linear regime, as a physical model of the process as well as the methods of numerical solution has been developed and validated with comparison to experiment.

Graduation Semester

2018-05

Type of Resource

text

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http://hdl.handle.net/2142/101167

Copyright and License Information

Copyright 2018 Cory Stephenson

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