Establishing the stability number descriptor for Fe–N–C fuel cell electrocatalysts

Fe-N-C electrocatalysts demonstrate high potential in catalyzing oxygen reduction reaction (ORR) in polymer electrolyte fuel cells, yet the bottleneck for their application is their moderate stabilities. In our previous work, we discovered a linear correlation between the rates of ORR and Fe dissolution in alkaline media at room temperature, and the stability (<i>S</i>-) number descriptor that reflects this correlation was introduced. On the way toward further generalization and establishment of this descriptor, we investigate the effect of pH, potential, current density, and temperature on the dissolution behavior of various representative Fe-N-C electrocatalysts. It is shown that the <i>S</i>-number concept is also applicable for ORR and Fe dissolution in alkaline electrolytes at 70 °C. It is more challenging to apply the <i>S</i>-number in acidic media, where the <i>S</i>-number is a function of ORR current density. A kinetic model is introduced, showing that the local pH inside the catalyst layer rises significantly with increasing current densities. The pH dependence of the <i>S</i>-number explains the results in acidic electrolytes. Accounting for such a dependence, the <i>S</i>-number descriptor can also benchmark Fe-N-C stability in acidic electrolytes. It is considered that this concept can also be extended to other reactions, allowing more rational activity and stability screening of electrocatalysts.

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Publication Details

Journal
Chemical Science
Published
2025-01-01
DOI
https://doi.org/10.1039/d5sc00547g
Citations
2
Primary Topic
Fuel Cells and Related Materials
Type
article
Field-Weighted Citation Impact
1.46

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article

Establishing the stability number descriptor for Fe–N–C fuel cell electrocatalysts

Frédéric Jaouen, Marco Mazzucato, Kavita Kumar, Christian Durante et al.
2 citations
Chemical Science
Fuel Cells and Related Materials
1.46
article

Establishing the stability number descriptor for Fe–N–C fuel cell electrocatalysts

Frédéric Jaouen, Marco Mazzucato, Kavita Kumar, Christian Durante, Serhiy Cherevko, Yu-Ping Ku, Antoine Bonnefont, Li Jiao
article en
2 citations

Abstract

Fe-N-C electrocatalysts demonstrate high potential in catalyzing oxygen reduction reaction (ORR) in polymer electrolyte fuel cells, yet the bottleneck for their application is their moderate stabilities. In our previous work, we discovered a linear correlation between the rates of ORR and Fe dissolution in alkaline media at room temperature, and the stability (<i>S</i>-) number descriptor that reflects this correlation was introduced. On the way toward further generalization and establishment of this descriptor, we investigate the effect of pH, potential, current density, and temperature on the dissolution behavior of various representative Fe-N-C electrocatalysts. It is shown that the <i>S</i>-number concept is also applicable for ORR and Fe dissolution in alkaline electrolytes at 70 °C. It is more challenging to apply the <i>S</i>-number in acidic media, where the <i>S</i>-number is a function of ORR current density. A kinetic model is introduced, showing that the local pH inside the catalyst layer rises significantly with increasing current densities. The pH dependence of the <i>S</i>-number explains the results in acidic electrolytes. Accounting for such a dependence, the <i>S</i>-number descriptor can also benchmark Fe-N-C stability in acidic electrolytes. It is considered that this concept can also be extended to other reactions, allowing more rational activity and stability screening of electrocatalysts.

Chemical ScienceVol. 16(20)
Institut polytechnique de Grenoble (FR), École Nationale Supérieure de Chimie de Montpellier (FR), Centre National de la Recherche Scientifique (FR), University of Padua (IT), Forschungszentrum Jülich (DE), Friedrich-Alexander-Universität Erlangen-Nürnberg (DE), Université de Montpellier (FR), Istituto Nazionale di Fisica Nucleare, Sezione di Padova (IT), Helmholtz Institute Erlangen-Nürnberg (DE), Institut Charles Gerhardt Montpellier (FR), Université Savoie Mont Blanc (FR), Université Grenoble Alpes (FR)
European Commission, Agence Nationale de la Recherche, Ministero dell’Istruzione, dell’Università e della Ricerca
Openalex Percentile: Top 18%
Fuel Cells and Related Materials
1.46
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