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Modeling Solid-State Precipitation by Ernst Kozeschnik

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Chapter 8

Design of Simulation

An experimenter is often faced with the problem that a large number of experimental parameters/variables should be assessed with minimum number of experiments, while, at the same time, achieving highest possible accuracy and significance. In experimental science, this topic is commonly addressed with a technique known as Design of Experiment. The aim of this method is to set up an optimum matrix of key experiments such that the identification of parameters is possible, unambiguously and accurately.

Similar to Design of Experiment, in this chapter, a corresponding technique in computational sciences is suggested: Design of Simulation,1 with special emphasis on solid-state precipitation. The key question to be discussed ...

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