Results 111 to 120 of about 2,726,894 (297)
Periodic commuting squares of finite von Neumann algebras [PDF]
, 1997 Atsushi Sakuramoto
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ELECTROPHORESIS, EarlyView.ABSTRACT The first patent to describe dielectrophoresis (DEP) as a means and process to separate particles from a mixture was granted by the US Patent Office to Henry Stafford Hatfield in 1924. The novel methods of sample preparation and designs of electrode geometry covered by the patent's disclosures and claims describe the basis for most present‐day
Ronald Pethig
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Extending Equivalent Circuit Models for State of Charge and Lifetime Estimation
Electrochemical Science Advances, Volume 5, Issue 2, April 2025.ABSTRACT Equivalent circuit modelling (ECM) of electrochemical impedance spectroscopy (EIS) data is a common technique to describe the state‐dependent response of electrochemical systems such as batteries or fuel cells. To use EIS for predictive assessments of the future behaviour of such a system or its state of health (SOH), a more elaborate digital ...
Limei Jin +3 more
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Transient Thermal Simulation of Lithium‐Ion Batteries for Hybrid/Electric Vehicles
Energy Technology, Volume 13, Issue 4, April 2025.This study uses thermal simulation software to model lithium‐ion battery module temperatures, identify key input/output factors for efficient battery temperature operation and thermal degradation over various vehicle scenarios. The modes of heat transfer considered in this thermal analysis for a full‐scale hybrid/electric vehicle are forced/natural ...
Nicholas Vinten +3 more
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A General Approach to Dropout in Quantum Neural Networks
Advanced Quantum Technologies, EarlyView., 2023 Randomly dropping artificial neurons and all their connections in the training phase reduces overfitting issues in classical neural networks, thus improving performances on previously unseen data. The authors introduce different dropout strategies applied to quantum neural networks, learning models based on parametrized quantum circuits.
Francesco Scala +3 more
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Mod Tanh‐Activated Physical Neural Network MPPT Control Algorithm for Varying Irradiance Conditions
Energy Science &Engineering, EarlyView.The proposed MPPT controller (CRT‐POA‐PID) is implemented to enhance power efficiency in the PV system. The beta‐distributed point estimation technique is used for mismatch factor correction, improving performance. Simulations show a 98.42% efficiency improvement, a 4.54 dB reduction in total harmonic distortion, and faster convergence compared to ANN ...
Khuong Nguyen‐Vinh +2 more
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Benefits of Open Quantum Systems for Quantum Machine Learning
Advanced Quantum Technologies, EarlyView., 2023 Quantum machine learning (QML), poised to transform data processing, faces challenges from environmental noise and dissipation. While traditional efforts seek to combat these hindrances, this perspective proposes harnessing them for potential advantages. Surprisingly, under certain conditions, noise and dissipation can benefit QML.
María Laura Olivera‐Atencio +2 more
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SQUARES IN THE CENTRE OF THE GROUP ALGEBRA OF A SYMMETRIC GROUP [PDF]
, 2002 John Murray
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Energy Science &Engineering, EarlyView.ABSTRACT This study investigates double‐diffusive transport and entropy generation in a wavy cylindrical enclosure containing Cu─H2O Casson nanofluid under magnetic field and thermal radiation effects. The governing equations were solved numerically using the finite element method with Galerkin formulation.
Mohammed Azeez Alomari +6 more
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A High‐Order Hybrid‐Spectral Incompressible Navier–Stokes Model for Non‐Linear Water Waves
International Journal for Numerical Methods in Fluids, Volume 97, Issue 6, Page 1009-1021, June 2025.We present a high‐order accurate CFD model for simulating nonlinear water waves using the incompressible Navier–Stokes equations. The model employs a combined Chebyshev–Fourier basis for efficient spatial discretization, and a low‐storage fourth‐order Runge–Kutta method for temporal integration. A Poisson pressure problem is solved using a geometric p$$
Anders Melander +3 more
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