Sentence examples for is adequate to predict from inspiring English sources

It is found that while a continuum model based on a mean field description of the surface is adequate to predict ignition, large discrepancies from the multiscale predictions are observed on the ignited branch and for the extinction temperature due to adjacency requirements at the microscopic level.

The convergence of the GIAO method with respect to the experimental data is adequate to predict chemical shifts, with a good accuracy for relatively large molecules such as 3.

It is shown that whilst first order theory is adequate to predict the imaginary part, a second order calculation is required to predict the behaviour of the real frequency variation.

The model developed here is purely data-driven with minimal assumptions that include: 1) that the set of nearest neighbors is adequate to predict the growth and survival of individual trees and the number and species composition of ingrowth trees; and 2) there is an optimal or preferred set of covariates from which to match nearest neighbors.

Comparison of the vacancy diffusion constants, the pre-exponential factors and the migration energies in the CuNi alloys obtained using the First Shell-Gray model and the more accurate but much less computationally efficient Monte Carlo simulation method suggests that the First Shell-Gray model is adequate to predict the diffusion behavior over the entire temperature range.

We conclude that the integration of orthology with functional association data is adequate to predict protein-protein interactions.

As mentioned above and represented in Fig. 1, this model was adequate to predict response.

The Weibull distribution was adequate to predict the impact failure strength of ECC, allowing to avert additional costly experiments.

R2 values of the established models were higher than 0.844, indicating that models were adequate to predict HMF content.

This approach provided statistically significant quadratic model, which was adequate to predict response and to carry out optimization under the conditions studied.

The residual standard error of 0.2% indicated that there was no significant difference between the actual and predicted values and it proved that the models were adequate to predict the relevant responses.