Designing Bimetallic Nanoparticle Catalysts via Tailored Surface Segregation
Yaxin Tang, Mingao Hou, Qian He, and Guangfu Luo

TL;DR
This paper investigates surface segregation in platinum-group bimetallic nanoparticles, using simulations and calculations to design catalysts with noble-metal-enriched surfaces that are cost-effective and highly active.
Contribution
It uncovers a common surface segregation phenomenon and proposes a strategy to intentionally enrich nanoparticle surfaces with noble metals to enhance catalytic performance.
Findings
Surface segregation is prevalent in platinum-group bimetallic nanoparticles.
A thermodynamic descriptor predicts segregation behavior effectively.
Pt-enriched surface nanoparticles show superior catalytic activity in propane dehydrogenation.
Abstract
Bimetallic nanoparticles serve as a vital class of catalysts with tunable properties suitable for diverse catalytic reactions, yet a comprehensive understanding of their structural evolution under operational conditions as well as their optimal design principles remains elusive. In this study, we unveil a prevalent surface segregation phenomenon in approximately 100 platinum-group-element-based bimetallic nanoparticles through molecular dynamics simulations and derive a thermodynamic descriptor to predict this behavior. Building on the generality and predictability of surface segregation, we propose leveraging this phenomenon to intentionally enrich the nanoparticle surface with noble-metal atoms, thereby significantly reducing their usage while maintaining high catalytic activity and stability. To validate this strategy, we investigate dozens of platinum-based bimetallic nanoparticles…
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