Bifurcations and pattern formation in a generalized Lengyel–Epstein reaction–diffusion model

descriptionPublicationkeyboard_double_arrow_right Article 01 Mar 2020 English Publisher:Elsevier BVJournal:Chaos, Solitons & Fractals, volume 132, page 109,579 (issn: 0960-0779,

Copyright policy )

Authors: Djamel Mansouri; Salem Abdelmalek; Samir Bendoukha;

doi: 10.1016/j.chaos.2019.109579

Bifurcations and pattern formation in a generalized Lengyel–Epstein reaction–diffusion model

- Summary
- Subjects
- Related research
  (8)
- Metrics

Abstract

zbMATH Open Web Interface contents unavailable due to conflicting licenses.

Related Organizations

Taibah University
Saudi Arabia

Keywords

Bifurcations of singular points in dynamical systems, Reaction-diffusion equations, general Lengyel-Epstein model, pattern formation, reaction-diffusion, Hopf bifurcation, Stability in context of PDEs

8 Research products, page 1 of 1

On the dynamics of the Lengyel–Epstein model with forcing intensity
2017IsAmongTopNSimilarDocuments
Hopf and Bautin bifurcations in a generalized Lengyel–Epstein system
2020IsAmongTopNSimilarDocuments
Turing structures and stability for the 1-D Lengyel–Epstein system
2012IsAmongTopNSimilarDocuments
Bifurcations in Twinkling Patterns for the Lengyel–Epstein Reaction–Diffusion Model
2021IsAmongTopNSimilarDocuments
The Lengyel–Epstein Reaction Diffusion System
2019IsAmongTopNSimilarDocuments
Turing Patterns in the Lengyel–Epstein System with Superdiffusion
2017IsAmongTopNSimilarDocuments
Hopf bifurcation analysis in the 1-D Lengyel–Epstein reaction–diffusion model
2010IsAmongTopNSimilarDocuments
Bifurcation in the Lengyel–Epstein system for the coupled reactors with diffusion
2016IsAmongTopNSimilarDocuments

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	9
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%