The exsolution of metal nanoparticles offers a promising strategy to enhance catalyst stability and fine-tune metal-support interactions. Expanding the use of exsolved nanoparticles in heterogeneous catalysis requires the development of low-temperature (<i>T</i> < 400 °C) exsolution processes. In this study, we report the synthesis of phase-pure ZnFe_2-<i>x</i>Rh_<i>x</i>O₄ metal oxide precursors with a spinel-type crystal structure. The isomorphic substitution of Fe³⁺ in …

Abstract Ammonia is industrially synthesized over multi‐promoted Fe‐based catalysts for more than a century. Although ammonia synthesis reflects a prototypical catalytic reaction, rational catalyst design is still impossible as the full structural complexity of this catalyst system often referred to as ammonia iron and its structural entanglement is barely understood. Here, the mesoscopic structure of a technical, multi‐promoted ammonia synthesis catalyst is uncovered using a scale‐bridging electron microscopy app…

The redox properties of perovskites play an important role in their use in thermo- and electrocatalytic applications. Here, we report the effects of substituting copper for manganese in A(Mn1–xCux)O3 (A = La, Pr; 0 ≤ x ≤ 0.4) perovskites on structural and chemical properties when lanthanum and praseodymium are used as A cations, whereas the synthesis of Pr-based materials has not been reported so far. On the one hand, we investigate the influence of the Cu content on the crystal structure and the surface compositi…

Abstract The identification of key materials’ parameters correlated with the performance can accelerate the development of heterogeneous catalysts and unveil the relevant underlying physical processes. However, the analysis of correlations is often hindered by inconsistent data. Besides, nontrivial, yet unknown relationships may be important, and the intricacy of the various processes may be significant. Here, we tackle these challenges for the CO oxidation catalyzed by perovskites using a combination of rigorous …

The identification of key parameters that correlate with catalytic performance through a combination of experiments and model calculations can accelerate the development of improved catalysts and reveal the relevant underlying processes. However, the analysis of correlations in heterogeneous catalysis is often hindered by inconsistent data. Besides, nontrivial, yet unknown relationships may be important, and the intricacy of the various processes may be significant. Here, we address these challenges for perovskite…