Higher current densities result in higher carbon and Ar ions fluxes inducing, from one side surface element concentration modification through sputtering, and from the other the enhancement of carbon diffusion on the first hundred nanometers of the surface layers.
This is consistent with previous studies reporting that the diffusion of the second metallic species into the noble metal lattice (from the NP surface) played a pivotal role in the formations of intermetallic NPs28,29,30.
Fig. 6a, demonstrates the dynamics of information diffusion for the first class, where it is observed that the number of infected nodes initially presents a steep increase and then it increases with much lower rate.
This last experiment is particularly exciting since we are measuring the phase-space properties of low-frequency induced diffusion for the first time in a dipole magnetic field.
They follow a Fickian behaviour which implies a disappearance of diffusion heterogeneity of the first sorption.
The diffusion coefficients of the first five n-alkanes in water at infinite dilution have been obtained from molecular dynamics simulations over a wide range of temperatures at 0.1 MPa and additionally, for methane and n-butane, at higher pressures up to 200 MPa.
Our results indicate that the model has no non-constant positive steady state with no cross-diffusion, while large cross-diffusion effect of the first species is helpful to the appearance of Turing instability as well as non-constant positive steady state (stationary patterns).
It was in the aftermath of the diffusion of the Kojikiden, first in manuscript form and then in printed form, that the term "Kokugaku" came to be widely used to refer to scholarship that focused on Japanese texts with the aim to discerning the distinct cultural characteristics of Japan.
Moreover, this paper focuses on the influence of nonlinear cross-diffusion terms on the appearance of Turing instability, and the discussion shows that large cross-diffusion coefficient of the first species is helpful to the appearance of Turing instability as well as non-constant positive steady state.
Specifically, Fig. 7a depicts the dynamics of information diffusion for the second class derived from simulations with and without control.
