Results 261 to 270 of about 14,500,098 (303)
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Microscopic and Mesoscopic Traffic Models
2018Besides macroscopic traffic flow models, traffic modelling in freeway systems has also been treated with other general approaches, resulting in microscopic and mesoscopic models. Macroscopic models can surely represent large networks efficiently, since they adopt an aggregate representation of the traffic dynamics, but they generally lack the level of ...
Ferrara A., Sacone S., Siri S.
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ON A MICROSCOPIC MODEL OF VISCOUS FRICTION
Mathematical Models and Methods in Applied Sciences, 2007We consider a body moving along the x-axis under the action of an external force E and immersed in an infinitely extended perfect gas. We assume the gas to be described by the mean-field approximation and interacting elastically with the body. In this setup, we discuss the following statement: "Let V0 be the initial velocity of the body and V∞ its ...
Silvia Caprino +2 more
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Microscopic models of ATM multiplexing
1997This paper revisits the classical model of ATM multiplexing. We exhibit an “exact” discrete-time model for the output queue of the switch, taking into account all peculiarities of the hardware functions, especially all synchronization-related features.
Gérard Hébuterne, Alain Dupuis
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Adsorption isotherms-microscopic modelling
Journal of Electroanalytical Chemistry and Interfacial Electrochemistry, 1977Abstract A lattice formalism using “spin variables” is employed to analyse multi-state models for the adsorption of neutral dipoles. In particular, a spin-1/2 (two-state) model incorporating permanent and induced dipole moments of the solvent and the organic adsorbate, substrate interactions, and discreteness of charge effects is analysed.
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A microscopic model of electrorheology
The Physics of Fluids, 1988An electrorheological fluid is modeled as a concentrated suspension of hard spheres with aligned field-induced electric dipole moments. The presence of dipole moments causes clustering of the particles into an anisotropic suspension characterized by a particle probability distribution function.
Adriani, Paul M., Gast, Alice P.
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SPIE Proceedings, 2014
This tutorial gives an overview of the microscopic approach developed to describe equilibrium and nonequilibrium effects in optically excited semiconductor systems with an emphasis to the application for VECSEL modelling. It is outlined how nonequilibrium quantum theory is used to derive dynamic equations for the relevant physical quantities, i.e.
S. W. Koch, J. Hader, J. V. Moloney
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This tutorial gives an overview of the microscopic approach developed to describe equilibrium and nonequilibrium effects in optically excited semiconductor systems with an emphasis to the application for VECSEL modelling. It is outlined how nonequilibrium quantum theory is used to derive dynamic equations for the relevant physical quantities, i.e.
S. W. Koch, J. Hader, J. V. Moloney
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Microscopic KMC Modeling of Oxide RRAMs
2019We investigate the microscopic behavior of oxide-based resistive random-access memory (RRAM) cells by using a unique three-dimensional (3D) physical simulator. RRAMs are attracting substantial attention and are considered as the next generation of non-volatile memory technologies.
Toufik Sadi, Asen Asenov
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Microscopic modelling of association
Fluid Phase Equilibria, 1992Abstract In a reformulation and extension of our earlier published work, exact equations which relate the cavity function to excess solvation free energies and equilibrium association constants are rederived by using a thermodynamic cycle. A zeroth-order approximation, derived previously by us as a simple interpolation scheme, is found to be very ...
George Stell, Yaoqi Zhou
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2001
In the preceding chapters, we described the price fluctuations of financial assets in statistical terms. We did not ask questions about their origin, and how they are related to individual investment decisions. In the language of physics, our approach was macroscopic and phenomenological. We considered macrovariables (prices, returns, volatilities) and
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In the preceding chapters, we described the price fluctuations of financial assets in statistical terms. We did not ask questions about their origin, and how they are related to individual investment decisions. In the language of physics, our approach was macroscopic and phenomenological. We considered macrovariables (prices, returns, volatilities) and
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Simple microscopic model of a microemulsion
Physical Review Letters, 1987, Schick, , Shih
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