Programmable Active Phase Reconstruction in Metal–Organic Framework Toward High‐Efficient Oxygen Evolution

Orchestrated manipulation of the dynamic structural evolution of catalytic materials in service represents an effective approach to rationally architect the active phase for highly efficient catalysis. Herein, this study reports a 2D ultrathin nickel-based metal-organic framework (MOF) pre-catalyst, where multimetallic electronic cooperativity enables on-demand hierarchical regulation of the structural evolution as well as the catalytic process of the reconstruction-derived active phase, delivering oxygen evolution reaction (OER) performance superior to benchmark RuO<sub>2</sub>. Tailored cobalt-iron co-substitution in nickel-based MOF strategically engineers the overall structural flexibility, controllably promoting the reconstruction process in alkaline media into ligand-anchored nickel oxyhydroxide active phases. Crucially, the controlled modulation of the structural state of reconstructed phases induces targeted metal-oxygen electronic interplay, steering active oxygen intermediate reconfiguration and reducing the thermodynamic bottleneck of the rate-determining step, ultimately achieving optimized catalytic pathways. This work precisely constructs MOF-derived reconstructed active phases and elucidates a programmed optimization mechanism governed by multimetallic electronic interplay, which dynamically bridges structural transformation and catalytic activity enhancement. A promising approach is showcased to accurately design high-efficiency electrocatalysts through programming dynamic structural evolution.

Authors

Institutions

Publication Details

Journal
Advanced Materials
Published
2025-08-15
DOI
https://doi.org/10.1002/adma.202509664
Citations
4
Primary Topic
Electrocatalysts for Energy Conversion
Type
article
Field-Weighted Citation Impact
1.45

Funders

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

Programmable Active Phase Reconstruction in Metal–Organic Framework Toward High‐Efficient Oxygen Evolution

Zhuo Kang, Peng Fei Liu, Yu Sun, Wenhao Zheng et al.
4 citations
Advanced Materials
Electrocatalysts for Energy Conversion
1.45
article

Programmable Active Phase Reconstruction in Metal–Organic Framework Toward High‐Efficient Oxygen Evolution

Zhuo Kang, Peng Fei Liu, Yu Sun, Wenhao Zheng, Zhouyu Jiang, Xin Wang, Yue Zhang, Zhen Tian, Yong Xie
article en
4 citations

Abstract

Orchestrated manipulation of the dynamic structural evolution of catalytic materials in service represents an effective approach to rationally architect the active phase for highly efficient catalysis. Herein, this study reports a 2D ultrathin nickel-based metal-organic framework (MOF) pre-catalyst, where multimetallic electronic cooperativity enables on-demand hierarchical regulation of the structural evolution as well as the catalytic process of the reconstruction-derived active phase, delivering oxygen evolution reaction (OER) performance superior to benchmark RuO<sub>2</sub>. Tailored cobalt-iron co-substitution in nickel-based MOF strategically engineers the overall structural flexibility, controllably promoting the reconstruction process in alkaline media into ligand-anchored nickel oxyhydroxide active phases. Crucially, the controlled modulation of the structural state of reconstructed phases induces targeted metal-oxygen electronic interplay, steering active oxygen intermediate reconfiguration and reducing the thermodynamic bottleneck of the rate-determining step, ultimately achieving optimized catalytic pathways. This work precisely constructs MOF-derived reconstructed active phases and elucidates a programmed optimization mechanism governed by multimetallic electronic interplay, which dynamically bridges structural transformation and catalytic activity enhancement. A promising approach is showcased to accurately design high-efficiency electrocatalysts through programming dynamic structural evolution.

Advanced MaterialsVol. 37(44)
Peking University (CN), Advanced Technology & Materials (China) (CN), University of Science and Technology Beijing (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 17%
Electrocatalysts for Energy Conversion
1.45
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.