Sentence examples for sample of configurations from inspiring English sources

Such methodology has been applied to produce a reduced parameterized model, designed to estimate life-cycle greenhouse gas (GHG) emissions of EGS power plants applicable to a large sample of configurations.

An exact enumeration of walks is impossible and an approximation scheme has to be used by which an unbiased sample of configurations can be generated.

Alternatively 2), Wallace and De Yoreo employed parallel replica simulations for an extensive sampling of configurations, thus mimicking infinite relaxation times.[ 21] Between these extremes, we suggest 3) a simulated-annealing-type procedure to allow aggregate relaxation to a degree that both energy profiles and aggregate structures evolve continuously as functions of nucleus size.[ 16].

Both sets of force fields were used within energy minimizations and molecular dynamics (MD) simulations.[18] The main difference between these two methods is that energy minimizations occur at 0 K and result in a local energy minimum structure; whereas MD simulations include temperature and time and allow for a larger sampling of configuration space.

Together, they are responsible for about 75% of the variance of GHG performances over the sample of studied configurations.

For the identification of the key parameters, namely those that are responsible for most of the variability in the GHG performances over our large sample of EGS configurations, a global sensitivity analysis (GSA) is performed.

At this point it is important to mention that in order to show that an ensemble of DNA configurations has certain properties (such as the strong correlation between position of the genes on the chromosome and within the cell) a sufficiently large sample of possible configurations has to be analyzed.

A homogeneous sample of square configuration undergoes bending, which is a pure non-rigid deformation, and the deformations are calculated by finite element method, as shown in Fig. 5a where a grid is drawn for visualisation of the deformation.

The reason is that Gibbs needs to sample one sequences of configurations in a cluster containing almost 20,000 pairings covering 18 targets for 843 frames.

The latter optimization must therefore sample one sequence of configurations out of k ν(δ+1) (k ≤ ν and ν → N, δ → T) possible sequences (compare to Section 2.2.4) statistically.

In this paper, we use the unit cell containing the minimum number of particles for different weight ratio of two kinds of particles to obtain the effective mechanical properties by averaging simulation results of many samples of different configurations in the unit cell.