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Catalysis of Organic..

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Margitfalvi et al. 311Figure 1. Mapping <strong>of</strong> catalyst library. Coordinates optimum activity (shown by ⌧) :D - fifth level,C - last level, A - fourth level, B - fifth level. Conversion values in %: - > 89-100,- 85-89, - 75-85, - 50-75, - 0-50.The main steps in catalyst optimization are as follows (see Scheme 1.):1. Preparation and testing 3-4 catalyst generations by HRS (80-100 catalyticexperiments);2. Refinement, i.e., establishment <strong>of</strong> the activity - composition relationshipby using ANNs as an information mining tool;3. Performing "virtual experiments" using ANNs and HRS;4. Testing the hits <strong>of</strong> "virtual experiments" (16 experiments);5. Final tuning <strong>of</strong> the catalysts accomplishing additional 64-80 "realexperiments" using HRS.ConclusionsIn this contribution a short description <strong>of</strong> HRS and its combination with ANNs aimedto design catalyst libraries for selective hydrogenation was given. The approachdeveloped is based on the use <strong>of</strong> both "real" and "virtual" optimization algorithms. Aset <strong>of</strong> results using HRS optimization represents the "real" optimization process. Theuse <strong>of</strong> ANNs as an information mining tool provides a possible to perform "virtual"experiments. In this "virtual" experiments the objective function provided by ANNs isused to move into the direction <strong>of</strong> global optimum by performing "virtual"optimization. The combination <strong>of</strong> "real" and "virtual" experiments strongly acceleratesthe process <strong>of</strong> catalyst library optimization. The success in catalyst library design byusing the above tools has been verified both by the rate and the certainty <strong>of</strong> optimumsearch.Experimental SectionCatalytic ReactionsReactions were carried out in a multi-reactor system (AMTEC GmbH, SPR-16)having 16 mini autoclaves working in a parallel way. Product analysis was done byGC.

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