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Figure 5 shows the transverse displacements of the principal buckling mode for the shear loaded square plate computed with the computational parameter (N=36).
Accordingly, bit-widths of each computational parameter is carefully selected to ensure least performance degradation.
The computational parameter such as docking study, log P determination and ADME prediction were performed to exploit the results.
Although in analytical model, the modal parameters are independent of applied dynamic force as a computational parameter and depend on stiffness, mass, and damping.
Moreover, charge distribution, which is a computational parameter, was proposed for the prediction of the selectivity coefficients of MIP-based sensors.
It is found that the error behaviour depends on another fundamental computational parameter h, the compartment size in the mesoscopic part of the model.
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The dependence of computing time on a number of model and computational parameters is investigated.
Hence, quantized computational parameters may have different data widths.
This criterion is exploited to classify computational parameters into signed and unsigned numbers.
All the computational parameters mentioned above are carefully tested to achieve convergence of the total energy.
Force-field and other computational parameters are optimized to reproduce satisfactorily the behaviour of crystalline PEO3NaI.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com