Flow spatial structure determines pattern instabilities in nonlocal models of population dynamics

This project is a numerical integration of partial differential equations (PDEs) using a pseudospectral approach and the Runge-Kutta 4th order (RK4) method. The code is part of the research for the paper Flow spatial structure determines pattern instabilities in nonlocal models of population dynamics. Published in Communication Physics.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-07-18
DOI
https://doi.org/10.5281/zenodo.16080825
Citations
1
Primary Topic
Nonlinear Dynamics and Pattern Formation
Type
article
Field-Weighted Citation Impact
1.49
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article

Flow spatial structure determines pattern instabilities in nonlocal models of population dynamics

1 citations
Zenodo (CERN European Organization for Nuclear Research)
Nonlinear Dynamics and Pattern Formation
1.49
article

Flow spatial structure determines pattern instabilities in nonlocal models of population dynamics

article en
1 citations

Abstract

This project is a numerical integration of partial differential equations (PDEs) using a pseudospectral approach and the Runge-Kutta 4th order (RK4) method. The code is part of the research for the paper Flow spatial structure determines pattern instabilities in nonlocal models of population dynamics. Published in Communication Physics.

Zenodo (CERN European Organization for Nuclear Research)
Institute for Cross-Disciplinary Physics and Complex Systems (ES), Center for Advanced Systems Understanding (DE)
Openalex Percentile: Top 11%
Nonlinear Dynamics and Pattern Formation
1.49
DOIOpen Access PDFOpenAlex
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Flow spatial structure determines pattern instabilities in nonlocal models of population dynamics · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS