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The reliability of computational methods was also investigated.
Model validation is the principal strategy to evaluate the accuracy and reliability of computational simulations.
Verification and validation (V&V) are the primary means to assess the accuracy and reliability of computational simulations.
There is a growing interest in accounting for the influence of uncertainties associated with physical systems to increase the reliability of computational simulation based engineering analysis.
In spite of the increasing reliability of computational methodologies, not always the designed lead, once synthesized and screened, are suitable for the chosen biological target.
Coupled with the increasing reliability of computational predictions, structure-based design is now playing an increasingly important role in the discovery and optimisation of novel, potent and selective protein kinase inhibitors.
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The reliability of these computational models was analyzed based on simulation results.
Experimental verification of the calculated results confirmed the reliability of the computational method employed in this study.
The quality of the provided data depends on the capabilities and the reliability of the computational tools.
To test the reliability of our computational method, in Figure 1, we plot the NEMD-calculated thermal conductivity of the tube (4,2) as a function of temperature.
A method for enhancing the reliability of implicit computational algorithms and decreasing their sensitivity to initial conditions without adversely impacting their efficiency is investigated.
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