The decision on the fitness for purpose of a simulation should be based on the quantity of interest. However, in general, models are used because there is no complete experimental information available on the quantity of interest, so a direct judgement is not possible. The aim of this article is to put in light this dichotomy, and propose a methodology to decide if a simulation is fit for purpose, based on the experimental data available and an ensemble of simulations. The methodology is illustrated with one example of microscale simulations.
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