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The specific manifestation of the phenomenon, related to fluctuations of the phase φ, is called quantum phase slip (QPS).
An analytic approach for the description of the synchronous phase slip is developed and explicit, though approximate, formulas which allow to determine the equilibrium injection phase and to fix the parameters of the accelerator are derived.
Particle phase slip correction was applied to low-pressure data sets for which the density disparity between the flow tracers and the gaseous phase is notable.
Various complex phenomena, including mass transfer between phases, phase slip, friction pressure drop, variable geometry, compression, heat transfer and other thermodynamic effects make the flow modeling quite complex.
Crystal plasticity finite element modelling has been employed to predict the rolling texture based on common α phase slip systems and compare with the measured α texture.
The degree of phase slip between the two systems determines how frequently this overlap occurs.
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Moreover, thermally activated phase slips in thicker samples, evolving in quantum phase slips in thinner nanowires, are observed in the superconducting state.
The number of code phase search is variable: By setting the channel parameters, the number of processing points and the number of code phase slips can be controlled, in order to achieve a variable number of code phase search.
The range of the nanowire diameters, where the effect is pronounced, correlates with dimensions where the phase fluctuations of the complex superconducting order parameter Δ = |Δ|eiφ, the quantum phase slips, broadening the R(T) dependencies, have been observed.
The range of the nanowire diameters where the effect is observed correlates with dimensions where the contribution of the phase fluctuations the quantum phase slips, broadening the R(T) dependencies, have been observed.
This guarantees a total independence from carrier phase slips and losses of lock, and it also does not require any a priori motion model for the platform.
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