Sentence examples for simulation technique we from inspiring English sources

After applying the interaction energies found using the molecular simulation technique, we predicted the swelling equilibria for the hydrogels in a water system.

Using a recently developed simulation technique, we allow full equilibrium, i.e. the chemical potential of the polyelectrolyte is retained as the separation is changed.

Therein was proposed a new, simple and cost-effective simulation technique; we adopted a standard velocity-stress FDM (Virieux, 1984; Levander, 1988) and expressed cracks in a staggered grid just by arraying grid points with zero shear traction.

Using this simulation technique, we encoded the basic formulation of the cancer stem cell hypothesis and observed the proportion of tumor-propagating cells that resulted.

Although the genes that are affected are different in each simulation technique, we find that the same gene ontology groups, including at least one large multigene family related with behavior, stress response or organogenesis, are over represented in each case.

Using simulation techniques we determined the response of these parameters to different sampling efforts and sample size.

Thus, by using the Monte Carlo simulation techniques, we can estimate the expectation values of Equations 28 and 29 by ergodicity of (c k, H k, ({n_{k}^{l}})), where P y l |x l,λ l ) can be calculated as Equation 12.

Using homology modelling and molecular dynamics (MD) simulation techniques we obtained the three-dimensional (3D) structure of CcBV cystatin 1.

Using outbreak simulation techniques we investigated how the probability of detection affects outbreak spread, and outcomes of response strategies such as time to control an outbreak, probability of elimination, and the certainty of declaring freedom from disease.

The particular simulation technique that we use is explained in Section 6.1.

Briefly, an individual-based model is a stochastic computational simulation technique in which we explicitly encode cell behaviors (cell division, mutation, differentiation, and death) and traits (probability of symmetric division) in a computational model, simulate populations of cells, and record the resulting system dynamics.