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  Dynamical analysis of nonlinear physical systems: mathematical modelling, artificial intelligence, and applications

Shanmugam, L., Lim, C. P., Rihan, F. A., Kurths, J. (2025): Dynamical analysis of nonlinear physical systems: mathematical modelling, artificial intelligence, and applications. - European Physical Journal - Special Topics, 234, 1331-1339.
https://doi.org/10.1140/epjs/s11734-025-01787-6

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shanmugam_2025_s11734-025-01787-6.pdf (Publisher version), 289KB
 
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 Creators:
Shanmugam, Lakshmanan1, Author
Lim, Chee Peng1, Author
Rihan, Fathalla A.1, Author
Kurths, Jürgen2, Author           
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: This special issue contains 84 articles that explore challenges in understanding and controlling nonlinear physical systems. The contributions cover a wide range of modern topics, including stability and stabilization issues, fluid dynamics, complex dynamical systems, fractional and partial differential equations, numerical analysis, mathematical modelling, fuzzy set theory and its applications, as well as multidisciplinary applications in machine learning, complexity analysis, and graph theory. This collection highlights innovative mathematical approaches, computational strategies, and experimental results pertaining to dynamical behaviour of complex systems and their applicability to undertake real-world problems in science and engineering. Overall, this special issue presents a collection of papers related to nonlinear physical systems, aiming to inspire researchers and practitioners to further drive research into understanding, modelling, and controlling the intricate dynamics of nonlinear systems across diverse domains.

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Language(s): eng - English
 Dates: 2025-07-162025-08-01
 Publication Status: Finally published
 Pages: 9
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1140/epjs/s11734-025-01787-6
MDB-ID: No data to archive
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Research topic keyword: Complex Networks
Research topic keyword: Nonlinear Dynamics
Model / method: Machine Learning
 Degree: -

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Title: European Physical Journal - Special Topics
Source Genre: Journal, SCI, Scopus, p3
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Pages: - Volume / Issue: 234 Sequence Number: - Start / End Page: 1331 - 1339 Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/150617
Publisher: Springer