Subsurface vacancies are thermodynamically preferred over surface vacancies on specific FCC and HCP metal surfaces due to a geometry-electronic decoupling mechanism identified via DFT and ML force fields.
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3 Pith papers cite this work, alongside 2,192 external citations. Polarity classification is still indexing.
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A facet-resolved adsorption energy distribution method with ML force fields identifies active and methanol-selective alloy nanocatalyst surfaces for CO2 hydrogenation.
A new descriptor, the adsorption energy distribution, clusters 158 alloys by similarity to known CO2-to-methanol catalysts and proposes ZnRh and ZnPt3 as promising untested candidates.
citing papers explorer
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Anomalous Subsurface Vacancy Stabilization Dictated by Geometry-Electronic Decoupling on Metal Surfaces
Subsurface vacancies are thermodynamically preferred over surface vacancies on specific FCC and HCP metal surfaces due to a geometry-electronic decoupling mechanism identified via DFT and ML force fields.
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Selectivity- and Activity-Aware Catalyst Descriptors for CO$_2$ Hydrogenation on Alloy Nanocatalysts using Machine-Learned Force Fields
A facet-resolved adsorption energy distribution method with ML force fields identifies active and methanol-selective alloy nanocatalyst surfaces for CO2 hydrogenation.