Cluster Models for Studying CO2 Reduction on Semiconductor Photoelectrodes

John A. Keith, Ana B. Muñoz-García, Martina Lessio, Emily A. Carter

Research output: Contribution to journalArticle

24 Scopus citations

Abstract

Sunlight-powered CO2-photoelectroreduction is a promising and potentially sustainable route to recycle CO2 byproducts back into energy-dense liquid fuels. One of the most intriguing processes known to date is the pyridinium-catalyzed CO2 reduction on p-type GaP photoelectrodes, where conversion to methanol has reported faradaic efficiencies nearing 100 %. Modeling this reactive environment requires understanding energetics of differently charged species at semiconductor electrodes, so we develop a cluster model and benchmark binding energies from it to those from Kohn-Sham density functional theory calculations that employ periodic boundary conditions. We then use this cluster model to theoretically predict structures and binding energies for charged and neutral adsorbates on the GaP(110) surface with and without the presence of van der Waals interactions and implicit solvation. We discuss the relative magnitudes of binding energy contributions for different adsorbates considered relevant in this CO2 reduction process and provide details showing pitfalls when using cluster models.

Original languageEnglish (US)
Pages (from-to)46-56
Number of pages11
JournalTopics in Catalysis
Volume58
Issue number1
DOIs
StatePublished - Jan 30 2015

All Science Journal Classification (ASJC) codes

  • Catalysis
  • Chemistry(all)

Keywords

  • Carbon dioxide reduction
  • Density functional theory calculations
  • Gallium phosphide photoelectrodes

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