Publication date: 22nd July 2026
The active state of an electrocatalyst is not a static entity but rather the result of continuous structural, chemical, and interfacial evolution driven by the applied potential, electrolyte environment, and reaction intermediates. Capturing these dynamic transformations is essential for establishing reliable structure–activity–selectivity relationships and for the rational design of next-generation catalysts for sustainable chemical and energy conversion.
In this lecture, I will discuss how the combination of operando synchrotron-based X-ray techniques (XPS, XAS, XPEEM, XRD), vibrational spectroscopy (Raman) and in situ scanning probe and electron microscopies (EC-AFM, EC-TEM, NAP-LEEM) provides unprecedented insight into the dynamic behavior of electrocatalysts under working conditions. In particular, this will enable simultaneously tracking the morphological evolution, local electronic structure, oxidation-state, surface chemistry, and reaction intermediates, allowing transient catalytic states to be directly linked to reaction pathways.
Examples spanning CO₂ electrocatalytic reduction (CO2RR), nitrate reduction (NO3RR), and the oxygen evolution reaction (OER) demonstrate that catalyst restructuring, oxidation-state fluctuations, adsorbate evolution, and electrolyte reorganization occur over multiple length and time scales and are intimately coupled to catalytic performance. Rather than representing degradation phenomena, these transformations frequently generate the true active catalytic state and determine activity, selectivity, and stability. The systems that will be discussed include Cu-based materials for CO2RR and NO3RR (single crystals, thin films and nanoparticles), metal–nitrogen–carbon single atom catalysts (Cu-, Ni-, Co-N-C) for CO2RR and transition-metal oxides (Ni-, Co-, and CoFe-oxides and hydroxides) for OER.
The emerging picture is that electrocatalysts should be viewed as adaptive systems whose active states arise from the intimate coupling between the catalyst’s structure and the evolving solid-liquid interface. Thus, a catalyst performance should optimized through controlled interfacial dynamics rather than static structural descriptors.
