Results 31 to 40 of about 70,235 (224)
Advanced Intelligent Discovery, EarlyView.Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz +4 more
wiley +1 more source
Nonadiabatic quantum chaos in atom optics
, 2012 Coherent dynamics of atomic matter waves in a standing-wave laser field is studied. In the dressed-state picture, wave packets of ballistic two-level atoms propagate simultaneously in two optical potentials.
Prants, S. V.
core +1 more source
Reactive dynamics of inertial particles in nonhyperbolic chaotic flows. [PDF]
Physical review. E, Statistical, nonlinear, and soft matter physics, 2003 Anomalous kinetics of infective (e.g., autocatalytic) reactions in open, nonhyperbolic chaotic flows are important for many applications in biological, chemical, and environmental sciences.
A. Motter, Y. Lai, C. Grebogi
semanticscholar +1 more source
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.Magnetic soft robots offer promise in biomedicine due to their wireless actuation and rapid response, but current fabrication methods are complex and have limited cellular compatibility. A new, contactless bioassembly strategy using hydrodynamic instabilities is introduced, enabling customizable, centimeter‐scale robots.
Wei Gao +5 more
wiley +1 more source
Dynamical analysis of bounded and unbounded orbits in a generalized H\'enon-Heiles system
, 2018 The H\'enon-Heiles potential was first proposed as a simplified version of the gravitational potential experimented by a star in the presence of a galactic center.
Dubeibe, F. L. +2 more
core +1 more source
Symbolic Reservoir Computing within Memristive Crossbar Arrays as a Cellular Automata
Advanced Intelligent Systems, EarlyView.In quest of a neuro‐symbolic system with both strong intelligent computing capability and better explainability, a memristor crossbar array‐based cellular automata (symbolic model) for reservoir computing (neural network) is proposed and experimentally demonstrated using an algorithm–hardware codesign approach.
Yunpeng Guo +8 more
wiley +1 more source
, 2008 The dynamics of excited phonon spectra of the Exe Jahn-Teller (hereafter, JT) model mapped onto the generalized Calogero-Moser (gCM) gas of pseudoparticles implies a complex interplay between nonlinearity and fluctuations of quasiparticle trajectories. A
Majernikova, E., Shpyrko, S.
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Optical Neuromorphic Technology Catalyzes the Next‐Generation Mobile Communication Technology
Advanced Intelligent Systems, EarlyView.Advancements in optical computing could revolutionize next‐generation wireless communication. The review highlights the role of photonic integrated circuits in implementing neural network operations and discusses their benefits, such as high computational density.
Xiaoxiong Song +6 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.This study investigates 3D locomotion of surface‐rolling microrobots, revealing a trade‐off between hydrodynamic wall effects and gravity. Through experiments and simulations, it explores how robot size, inclination angle, actuation frequency, and surface microtopography affect the 3D locomotion.
Myungjin Park +5 more
wiley +1 more source
Topics in Cognitive Science, EarlyView., 2023 Abstract Fractal fluctuations are a core concept for inquiries into human behavior and cognition from a dynamic systems perspective. Here, we present a generalized variance method for multivariate detrended fluctuation analysis (mvDFA). The advantage of this extension is that it can be applied to multivariate time series and considers intercorrelation ...
Sebastian Wallot +5 more
wiley +1 more source