Most of the computational efforts are spent on these successive simulations over a cycle.
The first was successive simulations of incident spectra with central energy in the range of 50 70 keV.
Successive simulations showed the orientation of the dominant ripples to vary between (vec q_{2}) and (vec q_{3}), as the randomized initial surface allowed for the competition between wave vectors to vary.
Using this approach, and by successive simulations of the temperature dependence of the χM T product of 1 and 2, we determined JCr-Cu=−0.18 cm−1 with a common isotropic g factor g 1 =2.021, for 1, and JCr-Co=+1.10 cm−1 with a common isotropic g-factor g 2 =2.0, for 2. In our analysis, we neglected all Cr=Cr and M=M exchange interactions, because these centers are not connected as first neighbors.
Our approach was to parameterize in a step-wise manner: CG forcefield parameters were determined through successive simulations at the atomistic molecular-dynamics level, the simulations chosen such that no more than three CG interaction parameters were derived in any one fitting procedure.
This procedure had been repeated for each cell line specific to a certain cancer type, and for all successive simulations, only the exchange fluxes that were feasible in all cell lines for a given cancer were retained.
Consequently, over the course of successive simulation generations, the remainder of the landscape was filled at a rate associated with values of δ specified during simulation runs.
As can be seen from Fig. 3, the HPA predicted a pending hypoglycemic event when glucose concentration was ∼104 mg/dl and suspended the pump for 90 min. This resulted in prevention of the event where, in successive simulation without the use of the algorithm, the glucose dropped to extremely low values.
The simulations displayed this degeneracy in the direction of the emergent ripples (i.e. the x- and y- components changed between positive and negative with successive simulations), but both components were shown to be equal in magnitude, as expected analytically.
The number of mesh elements on the stent was doubled with successive simulation until convergence of the mass transport residual.
