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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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November 21 2023
A. Chalkiadakis, M. Theocharakis et al.
We implement and use quantum neural networks that exploit bit-flip quantum error-correcting codes that correct bit-flip errors in arbitrary logical qubit states. We introduce conjugate layer quantum ...
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November 21 2023
F. Martin-Vergara, J. Cuevas-Maraver et al.
Deflation is an efficient numerical technique for identifying new branches of steady state solutions to nonlinear partial differential equations. Here, we demonstrate how to extend deflation to ...
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November 14 2023
Pablo Rosillo-Rodes, Maxi San Miguel et al.
In multilingual societies, it is common to encounter different language varieties. Various approaches have been proposed to discuss different mechanisms of language shift. However, current models ...
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November 15 2023
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 ...
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November 07 2023
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 ...
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November 03 2023
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
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November 27 2023
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 ...
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November 27 2023
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 ...
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November 27 2023
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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Assistant (Tenure-Track) or Associate/Full (Tenured) Professor in Mechanical & Aerospace Engineering
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Head of the Helmholtz Nano Facility at Forschungszentrum J�lich
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Professor and Chair of Physics
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Professor and Chair of Physics
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Director, National Synchrotron Light Source II
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As the NSLS-II Director you will be leading a worl...