Entropy‐Driven Engineering Enables Electron‐Enriched Pt for Industrial Hydrogen Evolution

Abstract Precise tailoring of the electronic structure of Pt catalysts remains a critical challenge for advancing hydrogen evolution reaction (HER) performance in proton exchange membrane water electrolysis (PEMWE). Herein, a novel entropy‐driven engineering strategy is proposed to regulate the electronic structure of Pt‐based catalysts and reveal an inverse volcano‐shaped relationship between support entropy and the Pt d ‐band center. Verifying by the proof‐of‐the‐concept medium‐entropy (FeCoNiMn) 3 O 4 spinel oxide (MESO) support, the electron transferred from MESO to Pt nanoparticles generates electron‐enriched Pt sites that downshift the d ‐band center, thereby drastically enhancing HER performance. The optimized Pt/(FeCoNiMn) 3 O 4 catalyst exhibits an ultra‐low overpotential of 10 mV and robust stability, placing it among the best Pt‐based catalysts. In a prototype PEMWE system, the newly developed electrocatalyst achieves 58.9 A mg Pt −1 at 1.7 V, ≈4.5 times greater than commercial Pt/C. This work not only elucidates entropy‐driven engineering mechanisms but also provides a practical pathway for efficient hydrogen production.

Authors

Institutions

Publication Details

Journal
Advanced Functional Materials
Published
2025-08-28
DOI
https://doi.org/10.1002/adfm.202516559
Citations
3
Primary Topic
Electrocatalysts for Energy Conversion
Type
article
Field-Weighted Citation Impact
1.09

Funders

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

Entropy‐Driven Engineering Enables Electron‐Enriched Pt for Industrial Hydrogen Evolution

Zhigang Zou, Yingfang Yao, Yongde Long, Xingming Xie et al.
3 citations
Advanced Functional Materials
Electrocatalysts for Energy Conversion
1.09
article

Entropy‐Driven Engineering Enables Electron‐Enriched Pt for Industrial Hydrogen Evolution

Zhigang Zou, Yingfang Yao, Yongde Long, Xingming Xie, Yuxiang Hu, Chunhao Sun, Houyan Cheng, Peng Liu, Kai Wang, Huawei Han
article en
3 citations

Abstract

Abstract Precise tailoring of the electronic structure of Pt catalysts remains a critical challenge for advancing hydrogen evolution reaction (HER) performance in proton exchange membrane water electrolysis (PEMWE). Herein, a novel entropy‐driven engineering strategy is proposed to regulate the electronic structure of Pt‐based catalysts and reveal an inverse volcano‐shaped relationship between support entropy and the Pt d ‐band center. Verifying by the proof‐of‐the‐concept medium‐entropy (FeCoNiMn) 3 O 4 spinel oxide (MESO) support, the electron transferred from MESO to Pt nanoparticles generates electron‐enriched Pt sites that downshift the d ‐band center, thereby drastically enhancing HER performance. The optimized Pt/(FeCoNiMn) 3 O 4 catalyst exhibits an ultra‐low overpotential of 10 mV and robust stability, placing it among the best Pt‐based catalysts. In a prototype PEMWE system, the newly developed electrocatalyst achieves 58.9 A mg Pt −1 at 1.7 V, ≈4.5 times greater than commercial Pt/C. This work not only elucidates entropy‐driven engineering mechanisms but also provides a practical pathway for efficient hydrogen production.

Advanced Functional MaterialsVol. 36(9)
Yanbian University (CN), Beijing Jiaotong University (CN), Beijing University of Technology (CN), China Electric Equipment Group (China) (CN), Beijing University of Chemical Technology (CN), Nanjing University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 22%
Electrocatalysts for Energy Conversion
1.09
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.