Tracking Dynamics of Supported Indium Oxide Catalysts in CO<sub>2</sub> Hydrogenation to Methanol by In Situ TEM.

Eliasson, Henrik; Chiang, Yung-Tai; Araújo, Thaylan Pinheiro; Li, Xiansheng; Erni, Rolf; Mitchell, Sharon; Pérez-Ramírez, Javier · Adv Mater · 2025

basic_science · Level V

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Abstract

Supported reducible oxides, such as indium oxide on monoclinic zirconia (In<sub>2</sub>O<sub>3</sub>/m-ZrO<sub>2</sub>), are promising catalysts for green methanol synthesis via CO<sub>2</sub> hydrogenation. Growing evidence suggests that dynamic restructuring under reaction conditions plays a crucial but poorly understood role in catalytic performance. To address this, the direct visualization of the state-of-the-art In<sub>2</sub>O<sub>3</sub>/m-ZrO<sub>2</sub> catalyst under CO<sub>2</sub> hydrogenation conditions (T  =  553 K, P  =  1.9 bar, CO<sub>2</sub>:H<sub>2</sub>  =  1:4) is pioneered using in situ scanning transmission electron microscopy (STEM), comparing its behavior to In<sub>2</sub>O<sub>3</sub> on supports with similar (tetragonal, t-ZrO<sub>2</sub> or anatase TiO<sub>2</sub>) or lower (LSm-ZrO<sub>2</sub>) surface areas. Complementary in situ infrared spectroscopy and catalytic tests confirm methanol formation under equivalent conditions. A machine-learning-based difference imaging approach differentiates and ranks restructuring patterns, revealing that partially reduced InO<sub>x</sub> species on m-ZrO<sub>2</sub> undergo cyclic aggregation-redispersion via atomic surface migration, maintaining high active phase dispersion. High-resolution ex situ STEM analysis further shows the epitaxial formation of In<sub>2</sub>O<sub>3</sub> mono- and bilayers on (100) m-ZrO<sub>2</sub> facets, highlighting strong oxide-support interactions. In contrast, sintering prevails on t-ZrO<sub>2</sub>, a-TiO<sub>2</sub>, and low-surface m-ZrO<sub>2</sub>, correlating with lower methanol productivity. This work underscores the pivotal role of oxide-support interfacial interactions in the reaction-induced restructuring of InO<sub>x</sub> species and establishes a framework for tracking nanoscale catalyst dynamics.