Sentence examples for it is capable of predicting from inspiring English sources

Exact(9)

Moreover, by converting this model into an electrical circuit, it is capable of predicting thermal conductivity.

It is capable of predicting the shear resistance and transverse drift of the shear panel from its initial loading to final failure.

The model has been tested in two hypothetical spaces to show that it is capable of predicting the characteristics of the sound fields that would be expected both in a diffuse space, and in a long, non-diffuse, enclosure.

Not only does the model explain the effects of the fines accumulation on the specific breakage rate of the coarse, but also it is capable of predicting the significant influence of the initial population density.

On the other hand, in the transverse direction, the three-phase model is superior to the conventional micromechanical model since it is capable of predicting the dependence of transverse modulus on the radii of nanotubes.

This model takes into account contributions of both thermal expansion and vapor pressure to the deformation of moisture absorbed polymers so that it is capable of predicting vapor pressure and void volume fraction simultaneously provided the initial conditions of vapor pressure and void volume fraction are prescribed.

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Similar(51)

While it was capable of predicting drop size distributions over a range of surfactant concentrations, this PBE model was not extensible to other surfactant types without re-estimation of adjustable model parameters.

Therefore, we considered NOVA ff for the further study, since it was capable of predicting successfully the ligand-receptor interaction due to the lower molecular distortion caused on the entire complex.

Therefore, it is concluded that FCPAS is capable of predicting non-planar multiple crack growth behavior in thin-walled structures.

It is shown the model is capable of predicting the main nonlinear characteristics of the contact interface and regenerates the experimental results at different vibration response levels.

It shows that the metamodel is capable of predicting the PPIs from other species with accuracies of over 66%.

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