Coordination Tuning of FeNi‐HMT Frameworks Derived Effective Hybrid Catalysts for Water Oxidation

FeNi-based hybrid materials are promising oxygen evolution reaction (OER) catalysts for water electrolysis in hydrogen generation. In this work, the coordination tuning of FeNi-HMT frameworks was achieved by simply changing the Fe/Ni ratios using hexamethylenetetramine (HMT) as an organic ligand, and the derived hybrid FeNi catalysts with varied compositions were probed for OER. Incorporating varying amounts of Fe<sup>3+</sup> by adjusting the Ni/Fe ratio results in different metal-organic framework (MOF) structures, and higher Fe feed leads to the formation of amorphous structures due to the coordination structure destruction from the weaker coordination capacity of Fe<sup>3+</sup> compared to Ni<sup>2+</sup> combining with the tertiary amine ligand. Among them, the FeNi-HMT (with the Fe/Ni molar ratio of 1/1) derived catalyst, consisting of Fe<sub>0.36</sub>Ni<sub>0.64</sub> alloy/Ni<sub>0.4</sub>Fe<sub>2.6</sub>O<sub>4</sub> spinel oxide heterostructures supported by graphitized carbon matrix, exhibits the highest OER performance. The unique structure facilitates significant electron transfer at the alloy/spinel interface due to the large work function difference between each phase. This strong electronic effect downshifts the d-band center of the catalyst and optimizes the binding energies to the crucial oxygenated intermediates, thereby promoting the OER kinetics. This work highlights the importance of the coordination tuning of FeNi-HMT frameworks for highly efficient catalyst development.

Authors

Institutions

Publication Details

Journal
ChemSusChem
Published
2024-10-27
DOI
https://doi.org/10.1002/cssc.202401580
Citations
3
Primary Topic
Electrocatalysts for Energy Conversion
Type
article
Field-Weighted Citation Impact
0.31

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Coordination Tuning of FeNi‐HMT Frameworks Derived Effective Hybrid Catalysts for Water Oxidation

Ligang Feng, Luhong Fu, Yunmeng Wang, Fulin Yang et al.
3 citations
ChemSusChem
Electrocatalysts for Energy Conversion
0.31
article

Coordination Tuning of FeNi‐HMT Frameworks Derived Effective Hybrid Catalysts for Water Oxidation

Ligang Feng, Luhong Fu, Yunmeng Wang, Fulin Yang, Jiawei Wu
article en
3 citations

Abstract

FeNi-based hybrid materials are promising oxygen evolution reaction (OER) catalysts for water electrolysis in hydrogen generation. In this work, the coordination tuning of FeNi-HMT frameworks was achieved by simply changing the Fe/Ni ratios using hexamethylenetetramine (HMT) as an organic ligand, and the derived hybrid FeNi catalysts with varied compositions were probed for OER. Incorporating varying amounts of Fe<sup>3+</sup> by adjusting the Ni/Fe ratio results in different metal-organic framework (MOF) structures, and higher Fe feed leads to the formation of amorphous structures due to the coordination structure destruction from the weaker coordination capacity of Fe<sup>3+</sup> compared to Ni<sup>2+</sup> combining with the tertiary amine ligand. Among them, the FeNi-HMT (with the Fe/Ni molar ratio of 1/1) derived catalyst, consisting of Fe<sub>0.36</sub>Ni<sub>0.64</sub> alloy/Ni<sub>0.4</sub>Fe<sub>2.6</sub>O<sub>4</sub> spinel oxide heterostructures supported by graphitized carbon matrix, exhibits the highest OER performance. The unique structure facilitates significant electron transfer at the alloy/spinel interface due to the large work function difference between each phase. This strong electronic effect downshifts the d-band center of the catalyst and optimizes the binding energies to the crucial oxygenated intermediates, thereby promoting the OER kinetics. This work highlights the importance of the coordination tuning of FeNi-HMT frameworks for highly efficient catalyst development.

ChemSusChemVol. 18(6)
Kunming University of Science and Technology (CN), Yangzhou University (CN)
National Natural Science Foundation of China
Clean water and sanitation
Openalex Percentile: Top 52%
Electrocatalysts for Energy Conversion
0.31
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.