Results 261 to 270 of about 3,060,651 (293)
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Stochastical dynamics and charge conservation in hadronization
Physical Review D, 1988Stochasticity in multiplicity distribution of total inelastic hadronic distributions is investigated in conjunction with the requirement of charge conservation. We obtain, for the simplest quantum-mechanical systems, neutral cluster states or partially coherent charged states.
, Shih, , Carruthers
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Electric field dynamics at a charged point
Physical Review E, 1996The autocorrelation function for the electric field at an impurity ion in a plasma is considered. A simple model is constructed that preserves the exact short time dynamics and the long time global constraint of a given self-diffusion coefficient. The input required is the initial value of the autocorrelation function and its derivatives, and the self ...
Berkovsky, Ma +4 more
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Dynamics of charge transport in planar devices
Physical Review E, 2008The Poisson-Nernst-Planck equations describe the dynamics of charge transport in an electric field. Although they are relevant in many applications, a general solution is not known and several aspects are not well understood. In many situations nonlinear effects arise for which no analytical description is available. In this work, we investigate charge
Beunis, F. +5 more
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1993
Abstract A plasma is a mixture of positive ions, electrons and neutral particles, electrically neutral over macroscopic volumes, and usually permeated by macroscopic electrical and magnetic fields. In addition to these ‘smoothed’ or averaged electromagnetic fields, which with laboratory plasmas are often imposed from outside the plasma ...
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Abstract A plasma is a mixture of positive ions, electrons and neutral particles, electrically neutral over macroscopic volumes, and usually permeated by macroscopic electrical and magnetic fields. In addition to these ‘smoothed’ or averaged electromagnetic fields, which with laboratory plasmas are often imposed from outside the plasma ...
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1987
The dynamics of colloidal solutions is classically studied in terms of the short-time diffusion coefficient D(q) which is extracted from the first cumulant of the auto-correlation function of the scattered amplitude I(q,t): $$D(q) = - \frac{1}{{{q^2}}}\frac{\partial }{{\partial t}}\log I(q,t = 0).$$ (1)
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The dynamics of colloidal solutions is classically studied in terms of the short-time diffusion coefficient D(q) which is extracted from the first cumulant of the auto-correlation function of the scattered amplitude I(q,t): $$D(q) = - \frac{1}{{{q^2}}}\frac{\partial }{{\partial t}}\log I(q,t = 0).$$ (1)
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2014
This chapter introduces the essential concepts of carrier recombination and transport in silicon. The differential equations of interest are derived and solutions are given—particularly focusing on harmonically modulated excess carrier generation.
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This chapter introduces the essential concepts of carrier recombination and transport in silicon. The differential equations of interest are derived and solutions are given—particularly focusing on harmonically modulated excess carrier generation.
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A Review on Dynamic Wireless Charging Systems
2019 IEEE Milan PowerTech, 2019The increasing diffusion of Electric Vehicles (EVs) is driving academic and institutional research towards exploring different possible ways of charging vehicles in a fast, reliable and safe way. For this reason, Wireless Power Transfer (WPT) systems have recently been receiving a lot of attention in the academic literature.
Marco D. D., Dolara A., Longo M.
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Charge storage and charge transfer in dynamic memories
1984Among the many problems parallel processing is faced with — bigger nets, long range connections, communications with the outside world, organization, imperfections, etc. — the need for local memories enjoys a central role. To process information means first of all to get and keep the information where it is needed.
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Charge Localization and Dynamics in Rhodopsin
Physical Review Letters, 1996Buda F, deGroot HJM, Bifone A
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Dynamic pricing for fast charging stations with deep reinforcement learning
Applied Energy, 2023Hongquan Qu, Mingshen Wang
exaly