Sentence examples similar to time evolution of the correlation from inspiring English sources

Here we study the compatibility of this intermediate with its two antipodes: the topological structure given by the network of metabolic reactions and the dynamic behavior given by the time evolution of the correlations between metabolites.

The time evolution of the spin correlation function reflects a walk through the landscape at a given temperature and shows typical glassy behaviour.

As in complex liquids, the interaction process originates in the disordered and finite correlation regions (finite polydisperse dynamic clustering) reflected in the transport parameters (relaxation times, viscosity, and self-diffusion) by means of a super-Arrhenius behavior or a multi-relaxation in the time evolution of the density-density correlation functions.

In Figure 1, we display the time evolution of the nearest-neighbor two-point correlations 〈 b ˆ 1 † b ˆ 2 〉 as well as two exemplary three-point correlations 〈 b ˆ 1 ( b ˆ 2 † ) 2 b ˆ 3 〉 and 〈 n ˆ 1 b ˆ 2 † b ˆ 3 〉 corr ≡ 〈 n ˆ 1 b ˆ 2 † b ˆ 3 〉 − 〈 n ˆ 1 〉 〈 b ˆ 2 † b ˆ 3 〉.

Although the small-scale structures are different, the time evolution of the arc-shaped waves and the negative correlation between ζ TP and N max 2 does not change much.

The correlation between rheological behavior and time evolution of the phase separation patterns was investigated in the epoxy/thermoplastic blends.

The numerical resolution of the thermal problem allows determination of the time evolution of the temperature fields in specimens and shows a good correlation with experiment.

The correlation observed between some characteristic non-dimensional quantities permitted an empirical correlation to be developed, that describes the time evolution of the extracted water temperature.

A direct correlation is found between the time evolution of the yield stress in unnotched tensile bars and that of the impact energy measured using notched tensile bars.

Figure 2: Time evolution of the main plasma parameters.

(d) Time evolution of the two-layer interface topography with time.