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Homoclinic chaos and its organization in a nonlinear optics model

Krishna Pusuluri and Andrey Shilnikov
Phys. Rev. E 98, 040202(R) – Published 30 October 2018
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Abstract

We developed a powerful computational approach to elaborate on the onset mechanisms of deterministic chaos due to complex homoclinic bifurcations in diverse systems. Its core is the reduction of phase space dynamics to symbolic binary representations that lets one detect regions of simple and complex dynamics as well as fine organization structures of the latter in parameter space. Massively parallel simulations shorten the computational time to disclose highly detailed bifurcation diagrams to a few seconds.

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  • Received 4 June 2018

DOI:https://doi.org/10.1103/PhysRevE.98.040202

©2018 American Physical Society

Physics Subject Headings (PhySH)

Interdisciplinary Physics

Authors & Affiliations

Krishna Pusuluri*

  • Neuroscience Institute, Georgia State University, Petit Science Center, 100 Piedmont Avenue, Atlanta, Georgia 30303, USA

Andrey Shilnikov

  • Neuroscience Institute, and Department of Mathematics and Statistics, Georgia State University, Petit Science Center, 100 Piedmont Avenue, Atlanta, Georgia 30303, USA

  • *pusuluri.krishna@gmail.com
  • ashilnikov@gsu.edu

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Issue

Vol. 98, Iss. 4 — October 2018

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