A Computational Study of Cu-Pd for Electrochemical CO2 Reduction

Authors

Marcus A. Ochsendorf, Valparaiso UniversityFollow

Faculty Sponsor

Haiying He

College

Arts and Sciences

Discipline(s)

Visiting Faculty Program at Argonne National Laboratory

Presentation Type

Poster Presentation

Symposium Date

Spring 5-3-2018

Abstract

In this study, copper and palladium clusters supported on defective graphene were investigated as catalysts for the electrochemical reduction of CO₂ using the first-principles approach and the computational hydrogen electrode model. The limiting potential to reduce CO₂ to CH₄ using these metallic catalysts was determined. From this, it was determined that the palladium clusters were the best candidates. These clusters showed the lowest necessary overpotential to produce CH₄ out of all the catalysts studied. Reaction pathways to produce a variety of C1 products CO, HCOOH, HCHO, CH₃OH, and CH₄ were studied in detail for selected systems. Results of this analysis will be presented.

Recommended Citation

Ochsendorf, Marcus A., "A Computational Study of Cu-Pd for Electrochemical CO2 Reduction" (2018). Symposium on Undergraduate Research and Creative Expression (SOURCE). 699.
https://scholar.valpo.edu/cus/699