Spin State versus Potential of Zero Charge as Predictors of Density-Dependent Oxygen Reduction in M-N-C Electrocatalysts

Fuente: arXiv
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Main Authors: Zhang, Di, Yu, Zixun, Liu, Fangzhou, Li, Yumeng, Chen, Jiaxiang, Geng, Xun, Chen, Yuan, Wei, Li, Li, Hao
Format: Preprint
Published: 2026
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_version_ 1866911605767274496
author Zhang, Di
Yu, Zixun
Liu, Fangzhou
Li, Yumeng
Chen, Jiaxiang
Geng, Xun
Chen, Yuan
Wei, Li
Li, Hao
author_facet Zhang, Di
Yu, Zixun
Liu, Fangzhou
Li, Yumeng
Chen, Jiaxiang
Geng, Xun
Chen, Yuan
Wei, Li
Li, Hao
contents Metal-site density strongly influences oxygen reduction activity and selectivity in M-N-C electrocatalysts, but the descriptors that predict these trends remain under debate. Here, we compare spin state and the potential of zero charge as predictors of density-dependent oxygen reduction behavior in Fe-N-C and Co-N-C catalysts. Using constrained-magnetization calculations combined with Landau analysis, we find that the ground-state magnetic moments vary only weakly across a broad range of metal-site densities, suggesting that magnetic descriptors alone cannot account for the pronounced performance changes. In contrast, explicit-solvent simulations reveal systematic density-dependent shifts in PZC, which alter the interfacial electric field and thereby modulate field-sensitive adsorption energetics of ORR intermediates. Incorporating these PZC shifts into a pH-field-coupled microkinetic model captures the density-dependent activity trends and reproduces the experimentally observed increase in two-electron selectivity at lower site densities under acidic conditions. Experimental PZC measurements further support the predicted trend. Together, these results show that PZC is a more effective predictor than spin state for density-dependent oxygen reduction activity and selectivity in M-N-C electrocatalysts.
format Preprint
id arxiv_https___arxiv_org_abs_2604_17427
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Spin State versus Potential of Zero Charge as Predictors of Density-Dependent Oxygen Reduction in M-N-C Electrocatalysts
Zhang, Di
Yu, Zixun
Liu, Fangzhou
Li, Yumeng
Chen, Jiaxiang
Geng, Xun
Chen, Yuan
Wei, Li
Li, Hao
Materials Science
Chemical Physics
Metal-site density strongly influences oxygen reduction activity and selectivity in M-N-C electrocatalysts, but the descriptors that predict these trends remain under debate. Here, we compare spin state and the potential of zero charge as predictors of density-dependent oxygen reduction behavior in Fe-N-C and Co-N-C catalysts. Using constrained-magnetization calculations combined with Landau analysis, we find that the ground-state magnetic moments vary only weakly across a broad range of metal-site densities, suggesting that magnetic descriptors alone cannot account for the pronounced performance changes. In contrast, explicit-solvent simulations reveal systematic density-dependent shifts in PZC, which alter the interfacial electric field and thereby modulate field-sensitive adsorption energetics of ORR intermediates. Incorporating these PZC shifts into a pH-field-coupled microkinetic model captures the density-dependent activity trends and reproduces the experimentally observed increase in two-electron selectivity at lower site densities under acidic conditions. Experimental PZC measurements further support the predicted trend. Together, these results show that PZC is a more effective predictor than spin state for density-dependent oxygen reduction activity and selectivity in M-N-C electrocatalysts.
title Spin State versus Potential of Zero Charge as Predictors of Density-Dependent Oxygen Reduction in M-N-C Electrocatalysts
topic Materials Science
Chemical Physics
url https://arxiv.org/abs/2604.17427