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308 Catalyst Library DesignBasic Principle <strong>of</strong> HRSThe Holographic Research Strategy (HRS) developed for catalyst library design andoptimization can be considered as a deterministic approach, i.e. the route <strong>of</strong>optimization is unequivocally determined by the applied setting parameters [23,24]. InHRS similarly to other methods, such as the genetic algorithm (GA) [11]], the testresults <strong>of</strong> the (n-1) th generation is used to design the n th generation. During theoptimisation, the Holographic Research Strategy uses the rank between catalyststested. This rank is usually called as an “elite list” which is used to design the nextcatalyst generation.In HRS the key setting parameters are as follows [23,24]: (i) the total number <strong>of</strong>experimental variables, (ii) the selected levels <strong>of</strong> experimental variables, (iii) initialarrangement <strong>of</strong> variables along the axes (see Fig. 1) and the way <strong>of</strong> variable positionchanges, (iv) the number <strong>of</strong> the best hits around which the new catalyst generation iscreated, and (v) the size and the form <strong>of</strong> the experimental regions used to design thenext catalyst generation.Undoubtedly all <strong>of</strong> these parameters can influence both the rate and the certainty<strong>of</strong> optimum search. In this respect the importance <strong>of</strong> the size <strong>of</strong> the experimentalregion has already been discussed in our previous studies [23,24].When all compositional variables have been selected the next task is the definition<strong>of</strong> the levels <strong>of</strong> these variables. The levels can be given either in absoluteconcentration or as a relative ratio. The necessary number <strong>of</strong> levels for a variable is thearbitrary decision <strong>of</strong> the experimenter. It depends on the range that has to be explored.Special attention has to be devoted to possible non-smooth areas. In a reasonablynarrow range the effect <strong>of</strong> a variable are usually investigated using 4 – 5 levels, whichaccording to our results proved to be sufficient. In an eight-dimensional experimentalspace containing 78,000 – 125,000 possible compositions less than 150-200measurements were sufficient to find or approach the optimum [23,24].The levels <strong>of</strong> the compositional variables strongly depend on the role <strong>of</strong> the givencomponent in the catalyst composition. For key components steps in 0.5 w % is verycommon. For compositional modifiers <strong>of</strong> the active metal small steps has to be used in0.05 or 0.1 w % interval. For the determination <strong>of</strong> the required amount <strong>of</strong> processmodifiers (quinoline, amides, sulfur) the dispersion (D) <strong>of</strong> the key metal has to bedetermined or estimated. The amount <strong>of</strong> this type <strong>of</strong> modifiers (M) is usually in therange <strong>of</strong> 0.05-0.2 M mod /A metal where M mod = amount <strong>of</strong> the modifier in moles and Ametal is the total amount metal in gram atoms. The amount <strong>of</strong> modifiers for the supportcan be one order higher than the metal content <strong>of</strong> the catalyst.According to the above considerations if the optimization is performed underfixed process parameters the initial step in library design is finished, i.e. the catalysts<strong>of</strong> the initial library can be introduced into the experimental hologram. However, it isstrongly recommended to include one or two process parameters into the librarydesign procedure. Reaction temperature and hydrogen pressure is the two mostimportant process parameters influencing both the activity and the reactivity.

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