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Updated: Mar 11, 2026
10:22
In Situ SIMS and IR Spectroscopy of Well-defined Surfaces Prepared by Soft Landing of Mass-selected Ions
Published on: June 16, 2014
19.0K
Chemical softness as a predictor for reactivity at metal surfaces
Amy L Gunton1, Stephen J Jenkins1
1Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, UK. sjj24@cam.ac.uk.
Physical Chemistry Chemical Physics : PCCP
|March 10, 2026
Summary
Researchers developed a new method to calculate local softness on metal surfaces, identifying active catalytic sites. This approach visualizes reactivity and predicts carbon monoxide adsorption trends using atomic softness.
Area of Science:
- Surface science
- Catalysis
- Computational chemistry
Background:
- Identifying active sites is crucial for heterogeneous catalysis.
- Local softness is a descriptor of reactivity for catalytic surfaces.
- A new method for calculating local softness on metal surfaces has been developed.
Purpose of the Study:
- To apply the new local softness calculation method to eighteen metal surfaces.
- To visualize local softness and understand potential reactivity at different sites.
- To utilize atomic softness for predicting carbon monoxide adsorption trends.
Main Methods:
- Calculation of local softness for eighteen flat and stepped metal surfaces.
- Visualization of local softness distribution on surfaces.
- Calculation of atomic softness.
Main Results:
- Local softness visualization provided insights into the reactivity of various surface sites.
- Atomic softness successfully predicted carbon monoxide adsorption trends.
- The method is applicable to both flat and stepped metal surfaces.
Conclusions:
- The local softness descriptor effectively identifies and characterizes active sites in heterogeneous catalysis.
- Atomic softness offers a granular measure for predicting adsorption behavior.
- This computational approach enhances understanding of surface reactivity and catalytic activity.
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