Abstract
Combinatorial catalysis [1–6] is a methodology where a large number of new materials are prepared and tested in a parallel fashion. The global search/optimisation strategy is the main difference with the traditional catalyst research and should allow the reduction of the number of experiments needed to find an optimal catalyst composition. Combinatorial catalysis involves the coordination of: high-throughput systems [7–12] for preparation, characterisation and catalytic test; large information data management; and rapid optimisation techniques. This promising approach requires therefore the development and optimisation of the following items: (i) high-throughput equipment, which allows the reliable preparation and characterisation/testing preferentially under realistic conditions of larger quantities of materials (ii) optimisation techniques, adapting their structure and parameters by implementing the chemical knowledge/experience of the experts. With this, it would be possible to increase the number of variables to study and this would result in a potentially rather more powerful final catalyst and shorter search times. Indeed, if this methodology is properly followed it can be very helpful in the scientific understanding of catalysis.
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Corma, A., Serra, J., Chica, A. (2002). Application Of Genetic Algorithms To The Development And Optimisation Of Light Paraffin Isomerisation Catalysts. In: Derouane, E.G., Parmon, V., Lemos, F., Ribeiro, F.R. (eds) Principles and Methods for Accelerated Catalyst Design and Testing. NATO Science Series, vol 69. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-0554-8_8
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