Journal
NPJ COMPUTATIONAL MATERIALS
Volume 6, Issue 1, Pages -Publisher
NATURE PORTFOLIO
DOI: 10.1038/s41524-020-00411-6
Keywords
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Funding
- Netherlands Organization for Scientific Research (NWO) through a Vici grant
- Nuffic fund
- European Union's Horizon 2020 research and innovation programme [686086]
- RAPID manufacturing institute - Department of Energy (DOE) Advanced Manufacturing Office (AMO) [DE-EE0007888-9.5]
- State of Delaware
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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. A rapid screening approach is developed to access the stability of single-atom catalysts based on the binding energy of the metal atom to the support and the cohesive energy of the bulk metal.
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