Sentence examples for macroscopic reconnection flow from inspiring English sources
Once the ion-electron drift velocity, V d, exceeds the threshold, V C, at time t∼20, fast reconnection drastically grows as a nonlinear instability because of the positive feedback between the microscopic effective anomalous resistivity and the macroscopic reconnection flow.
Once the current-driven anomalous resistivity is ignited, the positive feedback between the anomalous resistivity and the reconnection flow gives rise to the 3D fast reconnection mechanism.
Recent spacecraft observations claim that the energetic electrons can be further accelerated at the dipolarization front which locates far downstream of reconnection flow (Fu et al. 2011).
To compare with the observations, we refer to the flow and field perturbations around the simulated reconnection flows from the MHD simulation of near-tail reconnection (Birn et al. 2011).
We have proposed the spontaneous fast reconnection model and demonstrated by magnetohydrodynamic (MHD) simulations that the fast reconnection mechanism can be realized as an eventual solution by a nonlinear instability due to the positive feedback between current-driven anomalous resistivities and reconnection flows ([Kondoh et al. 2011]; [Ugai and Kondoh 2006]).
It aims at predicting macroscopic liquid flow and mixing time.
Thus, we propose a hybrid approach combining both macroscopic and microscopic traffic flow models as an improvement to [19], where we used only the macroscopic traffic flow model.
There are two major approaches to describe the spatiotemporal propagation of vehicular traffic flows [16]: macroscopic traffic flow models and microscopic traffic flow models.
Based on these principles we build, in Sections 4 and 5, a macroscopic traffic flow model and its variants.
(3) Suppose that using macroscopic flow direction define the different types of cone-shaped tubes, with the macroscopic flow direction becoming wider gradually defined diffuser and on the contrary, defined nozzle.
The continuous state evolves in each incident mode according to mode-dependent macroscopic flow dynamics.
