Results 101 to 110 of about 1,341,982 (321)

Piezoelectric Vibration-Based Energy Harvesting Enhancement Exploiting Nonsmoothness

open access: yesActuators, 2019
Piezoelectric vibration-based energy harvesting systems have been used as an interesting alternative power source for actuators and portable devices. These systems have an inherent disadvantage when operating in linear conditions, presenting a maximum ...
Rodrigo Ai   +4 more
doaj   +1 more source

SpaBalance: Balanced Learning for Efficient Spatial Multi‐Omics Decoding

open access: yesAdvanced Science, EarlyView.
SpaBalance is a computational framework that harmonizes multi‐omics learning via gradient equilibrium and dual‐stream feature decomposition, achieving superior clustering accuracy, biological interpretability, and scalable integration of three or more spatial omics modalities.
Yingbo Cui   +8 more
wiley   +1 more source

Application of the polynomial chaos expansion method for forecasting structural response of two full-scale case studies [PDF]

open access: yesGrađevinski Materijali i Konstrukcije
Predicting the behavior of engineering structures with high accuracy remains a challenging task as a result of their continuous interaction with the immediate environment and varying operating conditions.
Georgijev Viktor, Bogoevska Simona
doaj   +1 more source

Hyperbolic chaos in self-oscillating systems based on mechanical triple linkage: Testing absence of tangencies of stable and unstable manifolds for phase trajectories

open access: yes, 2015
Dynamical equations are formulated and a numerical study is provided for self-oscillatory model systems based on the triple linkage hinge mechanism of Thurston -- Weeks -- Hunt -- MacKay.
A.V. Borisov   +40 more
core   +1 more source

Harnessing Time‐Dependent Magnetic Texture Dynamics via Spin‐Orbit Torque for Physics‐Enhanced Neuromorphic Computing

open access: yesAdvanced Science, EarlyView.
A neuromorphic computing platform using spin‐orbit torque‐controlled magnetic textures is reported. The device implements bio‐inspired synaptic functions and achieves high performance in both pattern recognition (>93%) and combinatorial optimization (>95%), enabling unified processing of cognitive and optimization tasks.
Yifan Zhang   +13 more
wiley   +1 more source

Chaotic attractor hopping yields logic operations.

open access: yesPLoS ONE, 2018
Certain nonlinear systems can switch between dynamical attractors occupying different regions of phase space, under variation of parameters or initial states. In this work we exploit this feature to obtain reliable logic operations. With logic output 0/1
K Murali   +4 more
doaj   +1 more source

Chaotically spiking attractors in suspended mirror optical cavities

open access: yes, 2010
A high-finesse suspended mirror Fabry-Perot cavity is experimentally studied in a regime where radiation pressure and photothermal effect are both relevant.
Marin, Francesco, Marino, Francesco
core   +1 more source

Optimal Adaptive Power Flow Linearizations: Expected Error Minimization using Polynomial Chaos Expansion

open access: yes2019 IEEE Milan PowerTech, 2019
The nonlinearity of the power flow equations leads to algorithmic and theoretical challenges for a wide variety of optimization and control problems relevant to electric power systems.
T. Mühlpfordt   +3 more
semanticscholar   +1 more source

Improving Interlayer Interactions in Proton Exchange Membrane Fuel Cell through Carbon Nanotube‐Based Catalyst Design

open access: yesAdvanced Science, EarlyView.
This review highlights how carbon nanotube (CNT)–based catalyst designs enhance proton exchange membrane fuel cell (PEMFC) performance by improving interlayer interactions. Vertically aligned CNTs facilitate water management, mass transfer, and electron conduction while promoting effective active sites and reducing interfacial resistance.
Ling Ai   +3 more
wiley   +1 more source

Quantum chaos in non-Markovian open quantum systems: Interferometric OTOC, Loschmidt echo, and commutator operator norm

open access: yesChaos: An Interdisciplinary Journal of Nonlinear Science
Out-of-time order correlators (OTOCs) are crucial tools for studying quantum chaos as they show distinct scrambling behavior for chaotic Hamiltonians. We calculate the OTOC and analyze the quantum information scrambling in atom–field and spin–spin interaction models, which are open-system models and exhibit non-Markovian behavior.
Baibhab Bose   +2 more
openaire   +2 more sources

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