A simulation is a computational tool that substitutes and complements the experimental test-error strategy. These simulations save costs and time that otherwise should be spent in experimental testing. Simulations allow (i) to determine the ideal conditions that are needed to optimize the experimental process, (ii) to establish the parameters that would improve the quality of, for example, materials deposition, and (iii) to predict final distributions depending on the entry parameters.
