Revised Nitrogen Reduction Scaling Relations from Potential-Dependent Modeling of Chemical and Electrochemical Steps

Cooper Tezak, Nicholas Singstock, Abdulaziz Alherz, Derek Vigil-Fowler, Christopher Sutton, Ravishankar Sundararaman, Charles Musgrave

Research output: Contribution to journalArticlepeer-review

Abstract

The electrochemical nitrogen reduction reaction (NRR) is a promising route to enable carbon-free ammonia production. However, this reaction is limited by the poor activity and selectivity of current catalysts. The rational design of superior NRR electrocatalysts requires a detailed mechanistic understanding of current material limitations to inform how these might be overcome. The current understanding of how scaling limits NRR on metal catalysts is predicated on a simplified reaction pathway that considers only proton-coupled electron transfer (PCET) steps. Here, we apply grand-canonical density functional theory to investigate a more comprehensive NRR mechanism that includes both electrochemical and chemical steps on 30 metal surfaces in solvent under an applied potential. We applied ..phi..max, a grand-canonical adaptation of the Gmax thermodynamic descriptor, to evaluate trends in catalyst activity. This approach produces a ..phi..max "volcano" diagram for NRR activity scaling on metals that qualitatively differs from the scaling relations identified when only PCET steps are considered. NH3* desorption was found to limit the NRR activity for materials at the top of the volcano and truncate the volcano's peak at increasingly reducing potentials. These revised scaling relations may inform the rational design of superior NRR electrocatalysts. This approach is transferable to study other materials and reaction chemistries where both electrochemical and chemical steps are modeled under an applied potential.
Original languageAmerican English
Pages (from-to)12894-12903
Number of pages10
JournalACS Catalysis
Volume13
Issue number19
DOIs
StatePublished - 2023

NREL Publication Number

  • NREL/JA-2C00-88154

Keywords

  • electrocatalysis
  • energetic span
  • grand-canonical DFT
  • nitrogen reduction
  • scaling relations

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