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Chaos is devoted to increasing the understanding of nonlinear phenomena and describing the manifestations in a manner comprehensible to researchers from a broad spectrum of disciplines.
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September 05 2023
Yitong Huang, Yuanzhao Zhang et al.
The mammalian circadian system comprises a network of endogenous oscillators, spanning from the central clock in the brain to peripheral clocks in other organs. These clocks are tightly coordinated ...
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August 17 2023
Arthur Matsuo Yamashita Rios de Sousa, Jaroslav Hlinka
Inferring the dependence structure of complex networks from the observation of the non-linear dynamics of its components is among the common, yet far from resolved challenges faced when studying ...
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August 14 2023
Jean-Pierre Eckmann
This paper is an adaptation of the introduction to a book project by the late Mitchell J. Feigenbaum (1944–2019). While Feigenbaum is certainly mostly known for his theory of period doubling ...
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September 20 2023
Mickaël D. Chekroun, Honghu Liu et al.
A general, variational approach to derive low-order reduced models from possibly non-autonomous systems is presented. The approach is based on the concept of optimal parameterizing manifold (OPM) ...
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September 13 2023
Rodrigo M. Corder, Zheng Bian et al.
Many real-world complex systems rely on cluster synchronization to function properly. A cluster of nodes exhibits synchronous behavior, while others behave erratically. Predicting the emergence of ...
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September 07 2023
Zidu Li, Mason A. Porter et al.
The computational investigation of Fermi, Pasta, Ulam, and Tsingou (FPUT) of arrays of nonlinearly coupled oscillators has led to a wealth of studies in nonlinear dynamics. Most studies of oscillator ...
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September 20 2023
Danny Raj Masila, Rupesh Mahore
Intelligent agents collect and process information from their dynamically evolving neighborhood to efficiently navigate through it. However, agent-level intelligence does not guarantee that at the ...
Research Article
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September 20 2023
Mickaël D. Chekroun, Honghu Liu et al.
A general, variational approach to derive low-order reduced models from possibly non-autonomous systems is presented. The approach is based on the concept of optimal parameterizing manifold (OPM) ...
Research Article
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September 20 2023
Everton S. Medeiros, Oleh Omel’chenko et al.
Nonlinear systems possessing nonattracting chaotic sets, such as chaotic saddles, embedded in their state space may oscillate chaotically for a transient time before eventually transitioning into ...
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Assistant Professor of Condensed Matter Physics
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