Binding energy shifts for nitrogen-containing graphene-based electrocatalysts - Experiments and DFT calculations

S. Kabir, K. Artyushkova, A. Serov, B. Kiefer, P. Atanassov

Research output: Contribution to journalArticlepeer-review

167 Scopus citations

Abstract

A detailed analysis of the physiochemical nature, thermodynamic properties, and electrochemical characterization of N motifs present in self-assembled nitrogen functionalized transition metal and nitrogen doped graphene pyrolyzed materials has been conducted in this study. First principle density-functional-theory calculations were performed to assess the thermochemistry of Fe-Nx and graphitic-N defects and to predict N1s core-level-shifts. Combining this prediction with our X-ray photoelectron spectroscopy and rotating ring disk electrode experiments, we find that graphitic-N contributes significantly to hydrogen peroxide formation in oxygen reduction reactions, while materials containing nitrogen coordinated transition metal result in the complete reduction of oxygen to water. Lastly, we show how the synergy of experimental, electrochemical, and computational approaches can accelerate the accurate identification and characterization of nitrogen functionalized graphene moieties present in pyrolyzed electrocatalysts for fuel cells.

Original languageEnglish
Pages (from-to)293-300
Number of pages8
JournalSurface and Interface Analysis
Volume48
Issue number5
DOIs
StatePublished - May 1 2016
Externally publishedYes

Funding

This work was supported in part by the DOE-EERE Fuel Cell Technology Program (subcontract to Northeastern University, with PI Sanjeev Mukerjee). S. K. and B. K.would like to acknowledge XSEDE computing resources provided by the National Science Foundation under grant DMR TG-110093.

Keywords

  • DFT
  • XPS
  • core level shifts
  • electrocatalysts
  • graphitic nitrogen
  • oxygen reduction reactions

Fingerprint

Dive into the research topics of 'Binding energy shifts for nitrogen-containing graphene-based electrocatalysts - Experiments and DFT calculations'. Together they form a unique fingerprint.

Cite this