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Rationalising catalytic performance using a unique correlation matrix
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DOI：10.1039/d4cc03193h.png)
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Relationships between catalyst synthesis, structure and performance were investigated. Precise nanoparticle size control was achieved by tailoring solvent volume, drying temperature and solvent polarity. Catalyst performance was rationalised using a novel multidimensional correlation matrix, which considered synthetic, structural and catalytic data. This unique matrix can aid the design of improved catalysts. A novel multidimensional analytical tool was used to vindicate and improve the performance of bifunctional catalysts used for the one-pot conversion of CO2 to sustainable fuels.
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