Dynamic Potassium Segregation Drives Cu 2+ → Cu + Transition and Redefines Alkali-Metal Promotion in Selective Propylene Epoxidation
Abstract
High Resolution Image Download MS PowerPoint Slide Alkali-metal promoters, particularly potassium, are ubiquitous in heterogeneous catalysis and are commonly rationalized as electron donors to generate low-valence active sites. Yet potassium is typically introduced as electron-deficient K + species under realistic conditions, obscuring the true origin of alkali-metal promotion. A striking example is that potassium salts, rather than metallic K, induce Cu + formation in CuO even under O 2 -rich conditions, enhancing propylene epoxidation and directly challenging the conventional electronic picture. This long-standing paradox arises from the lack of atomic-scale insight into potassium’s operando structural state, which spans a vast configurational space inaccessible to conventional first-principles calculations. Here, by developing a genetic-algorithm-driven active-learning workflow integrating neural network potentials and large-scale molecular dynamics simulations, we uncover the atomic-level origin of K + promotion in driving the Cu 2+ → Cu + transition in the Cu–O–K system. We show that K + incorporated into the CuO lattice or statically embedded in the surface is electronically inert. Instead, Cu 2+ → Cu + reduction emerges exclusively from the dynamic surface segregation of undercoordinated K +, where local lattice distortions weaken Cu–O bonds and stabilize reduced copper centers. Dynamic simulations of realistic 3 nm K + -modified CuO nanoparticles confirm K + surface segregation and concurrent formation of Cu + -rich domains that cooperatively activate propylene and O 2 to generate reactive O 2 – species essential for selective propylene oxide production. In parallel, potassium segregation reshapes the catalyst morphology and stabilizes previously unrecognized square-planar CuO surface motifs with enhanced catalytic performance. These findings overturn the long-standing electron-donor paradigm of alkali-metal promotion and establish a general structural origin driven by dynamic ionic segregation and surface restructuring under realistic catalytic conditions.
Fields of Study & Subjects
Electrocatalysts for Energy Conversion
Machine Learning in Materials Science
Catalytic Processes in Materials Science
Publication details
- Journal / source
- JACS Au
- Publisher
- American Chemical Society (ACS)
- Volume
- 6
- Issue
- 4
- Pages
- 2580–2590
- Publication date
- 30 March 2026
- Language
- EN