Redefining Fe-doping effects: Solution-phase redox cycling dominates pre-lattice Ni3<b>+</b> formation and 2/1.5D nanostructure for enhanced OER

Fe doping is widely known to enhance the oxygen evolution reaction (OER) activity of Ni-based electrocatalysts; however, the underlying mechanisms remain controversial, with interpretations focused on post-incorporation effects. Here, we uncover a previously overlooked pre-incorporation mechanism: Fe3+-mediated redox cycling in solution that directly generates high-valent Ni3+ species, facilitating the formation of catalytically active Ni2O3H and nanostructures. Under hydrothermal conditions, spontaneous electron transfer occurs from Ni2+ to Fe3+, yielding Ni3+, while simultaneous regeneration of Fe2+ sustains a self-perpetuating redox cycle for continuous Ni2+ oxidation. Remarkably, at ultra-low Fe3+ concentrations, a hybrid morphology featuring both 2D and 1.5D structural characteristics emerges. Most Fe3+ precipitates as colloidal Fe(OH)3 without incorporation into the lattice, particularly near critical doping thresholds. The trace Fe-induced 2/1.5D nanostructures exhibit superior OER performance, achieving a current density of 10 mA cm−2 at an overpotential of merely 225 mV––comparable to that of heavily doped counterparts. Additionally, Fe doping synergistically activates both the lattice oxygen mechanism and the adsorbate evolution mechanism. These findings reveal a paradigm in Fe–Ni catalyst design, wherein controlled dopant-mediated redox chemistry and nanostructure play pivotal roles in optimizing electrocatalytic performance.

Authors

Institutions

Publication Details

Journal
Applied Physics Letters
Published
2025-09-08
DOI
https://doi.org/10.1063/5.0287885
Citations
1
Primary Topic
Electrocatalysts for Energy Conversion
Type
article
Field-Weighted Citation Impact
0.36
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Redefining Fe-doping effects: Solution-phase redox cycling dominates pre-lattice Ni3+ formation and 2/1.5D nanostructure for enhanced OER

Qiong-Xing Wang, Jiarong Huang, Gui‐Fang Huang, Meng‐Yuan Xie et al.
1 citations
Applied Physics Letters
Electrocatalysts for Energy Conversion
0.36
article

Redefining Fe-doping effects: Solution-phase redox cycling dominates pre-lattice Ni3+ formation and 2/1.5D nanostructure for enhanced OER

Qiong-Xing Wang, Jiarong Huang, Gui‐Fang Huang, Meng‐Yuan Xie, Wei‐Qing Huang, Jianhang Nie, Minghua Xian, Yan Luo, Zhen-Yang Ou-Yang
article en
1 citations

Abstract

Fe doping is widely known to enhance the oxygen evolution reaction (OER) activity of Ni-based electrocatalysts; however, the underlying mechanisms remain controversial, with interpretations focused on post-incorporation effects. Here, we uncover a previously overlooked pre-incorporation mechanism: Fe3+-mediated redox cycling in solution that directly generates high-valent Ni3+ species, facilitating the formation of catalytically active Ni2O3H and nanostructures. Under hydrothermal conditions, spontaneous electron transfer occurs from Ni2+ to Fe3+, yielding Ni3+, while simultaneous regeneration of Fe2+ sustains a self-perpetuating redox cycle for continuous Ni2+ oxidation. Remarkably, at ultra-low Fe3+ concentrations, a hybrid morphology featuring both 2D and 1.5D structural characteristics emerges. Most Fe3+ precipitates as colloidal Fe(OH)3 without incorporation into the lattice, particularly near critical doping thresholds. The trace Fe-induced 2/1.5D nanostructures exhibit superior OER performance, achieving a current density of 10 mA cm−2 at an overpotential of merely 225 mV––comparable to that of heavily doped counterparts. Additionally, Fe doping synergistically activates both the lattice oxygen mechanism and the adsorbate evolution mechanism. These findings reveal a paradigm in Fe–Ni catalyst design, wherein controlled dopant-mediated redox chemistry and nanostructure play pivotal roles in optimizing electrocatalytic performance.

Applied Physics LettersVol. 127(10)
Hunan University (CN), Bay Institute (US)
Openalex Percentile: Top 39%
Electrocatalysts for Energy Conversion
0.36
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.