The Computational Surface Science and Catalysis (CSSC) Group is a part of the Department of Chemical and Biological Engineering of the University of Wisconsin at Madison.

Our group’s focus is on first-principles investigations of surface science phenomena. We use first-principles electronic structure calculations in conjunction with massively parallel computing to find the optimal geometries and energetics of adsorbates on transition metal surfaces. Our goals are to acquire a detailed understanding of the kinetics and thermodynamics of adsorbate behavior on transition metals and semiconductors and to apply this knowledge to the design of new catalysts and semiconductors.

Manos Mavrikakis
Supervising Professor

Editor-in-Chief (2012-2020)
Surface Science

Google Scholar Profile

2026 Spring Group Photo
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First-principles guided synthesis of highly active Ru@Pt nanoparticle catalysts for preferential oxidation of CO in hydrogen

Impurity levels of water accelerate atomic hydrogen diffusion on iron-oxide surfaces by 16 orders of magnitude at room temperature

Highly dispersed Pt species decorated by alkali and O/OH species catalyze the water gas shift reaction at low temperatures

Bimetallic Near Surface Alloys that bind H weakly, but activate H2 more easily than noble metals