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April 10, 2026Small0 citations

Dynamic and Resilient Cobalt Copper Nitride and Iron Nitride Heterostructure Aided Energy Economic Urea Electrolysis in Anion Exchange Membrane Electrolyzer

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NSNibedita SinhaCDChandni DasCEChen‐Chen Er

Key Points

  • The study aims to develop an efficient electrocatalyst for energy-efficient hydrogen production through urea oxidation.
  • Design of Co3CuN/FeN heterostructure as an electrocatalyst.
  • Evaluation of electrochemical performance for UOR, OER, and HER at specified potentials.
  • Density Functional Theory (DFT) analysis to understand adsorption and desorption mechanisms.
  • Co3CuN/FeN requires 1.35 V for UOR, 1.55 V for OER, and 0.23 V for HER to reach 100 mA cm^-2.
  • Achieved power savings of about 20% in urea-coupled AEM electrolyzer.
  • Demonstrated enhanced kinetics for UOR and HER through improved adsorption and desorption processes.

Abstract

Urea oxidation reaction (UOR) is recognized for energy-efficient hydrogen production, which nonetheless requires a meticulously designed electrocatalyst with active sites for intermediates adsorption and gaseous products desorption to fully exploit its advantages. Herein, we design the heterostructure consisting of cobalt copper nitride and iron nitride (Co3CuN/FexNy) as an efficient and trifunctional electrocatalyst, which requires 1.35 VRHE, 1.55 VRHE, and 0.23 VRHE potentials to reach 100 mA cm-2 current density for UOR, oxygen evolution reaction (OER), and hydrogen evolution reaction (HER), respectively. Unlike the conventional UOR selective electrocatalyst, Co3CuN/FexNy not only facilitates the UOR → OER switching but also shows self-regulatory ability in UOR ↔ OER. The Density Functional Theory (DFT) study explained that while Co3CuN promoted the adsorption of CO(NH2)2 and H2O, FexNy facilitated CO2 and N2 desorption, resulting in accelerated UOR and HER kinetics. The electrocatalyst also demonstrated outstanding performance in a urea-coupled AEM electrolyzer with about 20% of power saving and great electrolyzer efficiency, further highlighting its potential for industry-relevant applications.

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Cite This Study

Sinha et al. (2026) studied this question.

synapsesocial.com/papers/69d894ce6c1944d70ce05aebhttps://doi.org/10.1002/smll.202600012
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