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Current Issue
Volume 33,
Issue 10,
October 2023

Focus and Coverage

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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Editor's Picks
Research Article
Ye Yuan, Xiuting Li et al.
This study presents a general framework, namely, Sparse Spatiotemporal System Discovery ( S 3 d ), for discovering dynamical models given by Partial Differential Equations (PDEs) from ...
Research Article
Andrew Flynn, Vassilios A. Tsachouridis et al.
Multifunctional biological neural networks exploit multistability in order to perform multiple tasks without changing any network properties. Enabling artificial neural networks (ANNs) to obtain ...
Research Article
A. Zabaleta-Ortega, C. Masoller et al.
Synchronization study allows a better understanding of the exchange of information among systems. In this work, we study experimental data recorded from a set of Rössler-like chaotic electronic ...
Most Recent
Research Article
Aarsh Chotalia, Shiva Dixit et al.
We propose a minimal yet intriguing model for a relationship between two individuals. The feeling of an individual is modeled by a complex variable and, hence, has two degrees of freedom [Jafari et ...
Research Article
Samuel E. Otto, Gregory R. Macchio et al.
Recently developed reduced-order modeling techniques aim to approximate nonlinear dynamical systems on low-dimensional manifolds learned from data. This is an effective approach for modeling dynamics ...
Research Article
Z. Dadi, A. A. Masoudi et al.
Here, we discuss how to achieve the stable actuation of a double beam torsional micro-actuator over the largest possible displacement of the moving component under the influence of Casimir and ...
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