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Stability of heterogeneous single-atom catalysts: a scaling law mapping thermodynamics to kinetics

Chemistry

Stability of heterogeneous single-atom catalysts: a scaling law mapping thermodynamics to kinetics

Y. Su, L. Zhang, et al.

Explore the cutting-edge research on the stability of heterogeneous single-atom catalysts by Ya-Qiong Su, Long Zhang, Yifan Wang, Jin-Xun Liu, Valery Muravev, Konstantinos Alexopoulos, Ivo A. W. Filot, Dionisios G. Vlachos, and Emiel J. M. Hensen. This study extends the understanding of binding energy to cover kinetic aspects, providing a new correlation that could revolutionize catalyst screening.

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~3 min • Beginner • English
Abstract
Heterogeneous single-atom catalysts (SACs) hold the promise of combining high catalytic performance with maximum utilization of often precious metals. We extend the current thermodynamic view of SAC stability in terms of the binding energy (Ebind) of single-metal atoms on a support to a kinetic (transport) one by considering the activation barrier for metal atom diffusion. A rapid computational screening approach allows predicting diffusion barriers for metal-support pairs based on Ebind of a metal atom to the support and the cohesive energy of the bulk metal (Ec). Metal-support combinations relevant to contemporary catalysis are explored by density functional theory. Assisted by machine-learning methods, we find that the diffusion activation barrier correlates with (Ebind)2/Ec in the physical descriptor space. This diffusion scaling-law provides a simple model for screening thermodynamics to kinetics of metal adatom on a support.
Publisher
npj Computational Materials
Published On
Sep 24, 2020
Authors
Ya-Qiong Su, Long Zhang, Yifan Wang, Jin-Xun Liu, Valery Muravev, Konstantinos Alexopoulos, Ivo A. W. Filot, Dionisios G. Vlachos, Emiel J. M. Hensen
Tags
single-atom catalysts
stability
thermodynamic view
kinetic transport
diffusion barriers
machine learning
density functional theory
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