New tricks by very old dogs: predicting the catalytic hydrogenation of HMF derivatives using Slater-type orbitals

Abstract

We report new experimental results on the hydrogenation of 5-ethoxymethylfurfural, an important intermediate in the conversion of sugars to industrial chemicals, using eight different M/Al₂O₃ catalysts (M = Au, Cu, Ni, Ir, Pd, Pt, Rh, and Ru) under various conditions. These data are then compared with the results for 48 bimetallic supported catalysts. The results are explained using a simple and effective model, applying catalyst descriptors based on Slater type orbitals (STOs). Each metal is described using four parameters: the height of the orbital peak, the distance of the peak from the metal atom centre, the peak width at half height, and the peak skewness. Importantly, all these parameters are derived from one simple equation, so the calculation is fast and robust. We then apply these descriptors for modeling the hydrogenation data using multivariate methods. Despite the inherent complexity of the reaction network, these simple models describe the catalysts' performance well. The general application of such descriptor models to in silico design and performance prediction of solid catalysts is discussed.