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BP LECTURE 3 - "High-throughput Applications for Heterogeneous Catalysis"

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High-throughput (HT) experimentation and data mining can be used in catalysis for the discovery, of new process and catalysts, for the optimization of existing ones, and for experimentation in unusual conditions. HT methodologies have been used to find new catalysts that do not contain Pd and that perform C-C bond formation at much lower concentrations than usual. It has also been possible to find a reaction and catalyst for chemoselective reduction of nitroaromatics opening up new possibilities in the field of fine chemicals. This discovery has encouraged fundamental studies to understand the catalytic system, and from these new catalyst designs have been developed. In the field of catalyst optimization, we will show how a commercial olefin epoxidation catalyst has been improved. Finally HT methodology for the synthesis of molecular sieves has achieved the discovery of outstanding new materials, some of them obtained under unusual reaction conditions.

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