Litcius/Paper detail

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

Yaqiong Su, Long Zhang, Yifan Wang, Jin-Xun Liu, Valery Muravev, Konstantinos Alexopoulos, Ivo A. W. Filot, Dionisios G. Vlachos, Emiel J. M. Hensen

2020npj Computational Materials95 citationsDOIOpen Access PDF

Abstract

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 (E bind ) 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 E bind of a metal atom to the support and the cohesive energy of the bulk metal (E c ). 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 (E bind ) 2 /E c in the physical descriptor space. This diffusion scaling-law provides a simple model for screening thermodynamics to kinetics of metal adatom on a support.

Topics & Concepts

ThermodynamicsDiffusionAtom (system on chip)CatalysisKinetic energyMetalActivation energyKineticsChemistryScalingDensity functional theoryPhysical chemistryChemical physicsMaterials scienceComputational chemistryPhysicsComputer scienceMathematicsGeometryOrganic chemistryEmbedded systemQuantum mechanicsBiochemistryElectrocatalysts for Energy ConversionMachine Learning in Materials ScienceCatalytic Processes in Materials Science