Dynamic Potassium Segregation Drives Cu 2+ → Cu + Transition and Redefines Alkali-Metal Promotion in Selective Propylene Epoxidation

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Authors: Dingming Chen, Danfeng Xiong, Haifeng Wang
Cited by: 1
References: 66

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