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Fast Surface Oxygen Release Kinetics Accelerate Nanoparticle Exsolution in Perovskite Oxides
Jiayue Wang1, Dmitri Kalaev2, Jing Yang2
1Department of Nuclear Science and Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts02139, United States.
Journal of the American Chemical Society
|January 11, 2023
Summary
Controlling nanoparticle catalyst exsolution requires understanding oxygen release kinetics. Accelerating oxygen release in SrTi$_{0.65}$Fe$_{0.35}$O$_{3}$ (STF) enhances iron nanoparticle exsolution for improved catalytic performance.
Area of Science:
- Materials Science
- Catalysis
- Surface Science
Background:
- Exsolution enables fabricating oxide-supported metal nanoparticle catalysts through phase precipitation.
- Understanding exsolution kinetics is crucial for optimizing catalysts for clean energy and fuel conversion.
- Oxygen release via oxygen vacancy formation is fundamental to oxide reduction and metal exsolution.
Purpose of the Study:
- To investigate the kinetics of metal nanoparticle exsolution from a host oxide.
- To determine the relationship between oxygen release kinetics and metal exsolution rates.
- To establish a predictive capability for tailoring exsolution processes.
Main Methods:
- Utilized thin-film perovskite SrTi$_{0.65}$Fe$_{0.35}$O$_{3}$ (STF) as a model system.
- Employed both experimental and theoretical approaches to probe surface exsolution kinetics.
- Performed in situ experiments and analytical kinetic modeling.
Main Results:
- Demonstrated that surface oxygen release kinetics govern metal nanoparticle exsolution in the STF system.
- Showed that increasing oxygen release rate (e.g., by reducing sample thickness or enhancing surface reactivity) accelerates Fe$^{0}$ exsolution.
- Observed that faster oxygen release shortened prereduction time and increased the quantity of exsolved Fe$^{0}$.
Conclusions:
- Surface oxygen release kinetics are the primary determinant of metal nanoparticle exsolution.
- Engineering host oxide surface oxygen release kinetics is vital for designing effective exsolved nanocatalysts.
- The study provides a predictive framework for optimizing exsolution processes for catalytic applications.

