Data from: Direct Observation of Direct Observation of Collective Dissolution Mechanisms in Iridium Oxide Nanocrystals

Read full text
Authors: Ivan A. Moreno‐Hernandez, Simon Avery Vigil
Cited by: 0

Abstract

Iridium oxide (IrO2) is the state-of-the-art electrocatalyst for water oxidation in electrolyzers, yet it suffers from instability under operating conditions. Here, we combine first-principles modeling with in situ liquid-phase transmission electron microscopy and device-scale characterization to resolve the atomic-scale morphology and dissolution dynamics of IrO2 nanocrystals. Our computational Wulff constructions uniquely incorporate high-index facets, providing new insights into thermodynamic facet-dependent stability under operating conditions. Atomically resolved studies reveal multiple distinct collective dissolution pathways, including high-index facet formation, monolayer reconstruction, step-edge formation, and monolayer delamination on {110} surfaces. Device-scale studies confirm that electrochemical operation results in high-index facet formation. Ab initio molecular dynamics simulations further show that initial dissolution kinetics are facet-dependent. These findings highlight how combining in situ imaging with first-principles modeling reveals atomic-scale dynamics that influence material performance. This dataset includes a collection of the videos analyzed for the publication. All video files were created on 2026-02-01. These videos are stored as collections of .tif files, at a framerate of 1 fps, and at a resolution of 1024x1024. This is a subset of the data collected, as the full-fidelity dataset is between 1 and 10 fps and 4096x4096. However, due to institutional restrictions on the maximum size of data that is storable, these reductions were necessary. The full-fidelity dataset will be provided upon request to the corresponding author.

Fields of Study & Subjects

Electrocatalysts for Energy Conversion Catalytic Processes in Materials Science CO2 Reduction Techniques and Catalysts

Publication details

Journal / source
Research Data Repository, Duke University
Publication date
9 February 2026
Document type
Dataset