Surface Reconstruction of Amorphous Ni─Co─S─O Material with a Functional Gradient Layer for Highly Efficient and Stable Alkaline Hydrogen Evolution DOI
Lijuan Liu,

Yingqiu Zheng,

Wenshu Chen

et al.

Small, Journal Year: 2025, Volume and Issue: unknown

Published: April 22, 2025

Abstract Alkaline water electrolysis holds potential for large‐scale, high‐purity hydrogen production. However, the slow kinetics of dissociation and challenging conditions in alkaline environments complicate search an electrocatalyst with both high activity durability. In this study, a highly active stable amorphous is introduced, 3Ni─Co─S─O, developed via straightforward electrodeposition method evolution reaction (HER). Notably, surface 3Ni─Co─S─O catalyst undergoes compositional reconstruction during HER, yet maintains its structure. This spans roughly 6 µm, leading to gradual decrease Ni S content corresponding increase O concentration toward surface, thereby forming stable, gradient layer. Benefitting from layer nature, demonstrates superior HER activity—requiring only 170 mV achieve industrial current density 1000 mA cm −2 . It also showcases remarkable stability, mere 15 overpotential continuous at 300 24 h, outperforming commercial Pt/C catalyst. The research provides novel approach designing high‐performance electrocatalysts cost‐effectively contributes insights understanding developing advanced catalysts across various applications.

Language: Английский

Platinum and Gold Supported on Transition Metal Nitrides for Hydrogen Evolution in an Alkaline Electrolyte DOI

Nathaniel N. Nichols,

Xue Han, Sinwoo Kang

et al.

Energy & Fuels, Journal Year: 2025, Volume and Issue: unknown

Published: March 6, 2025

Language: Английский

Citations

0
Machine Learning Accelerated Discovery of Covalent Organic Frameworks for Environmental and Energy Applications DOI
Hao Wang, Yuquan Li, Xiaoyang Xuan

et al.

Environmental Science & Technology, Journal Year: 2025, Volume and Issue: unknown

Published: March 30, 2025

Covalent organic frameworks (COFs) are porous crystalline materials obtained by linking ligands covalently. Their high surface area and adjustable pore sizes make them ideal for a range of applications, including CO2 capture, CH4 storage, gas separation, catalysis, etc. Traditional methods material research, which mainly rely on manual experimentation, not particularly efficient, while with advancements in computer science, high-throughput computational screening based molecular simulation have become crucial discovery, yet they face limitations terms resources time. Currently, machine learning (ML) has emerged as transformative tool many fields, capable analyzing large data sets, identifying underlying patterns, predicting performance efficiently accurately. This approach, termed "materials genomics", combines ML to predict design high-performance materials, significantly speeding up the discovery process compared traditional methods. review discusses functions screening, design, prediction COFs highlights their applications across various domains like thereby providing new research directions enhancing understanding COF applications.

Language: Английский

Citations

0
Toward a molecular-scale picture of water electrolysis: mechanistic insights, fundamental kinetics and electrocatalyst dynamic evolution DOI
Man Chen, Yingju Yang,

Yuandong Ding

et al.

Coordination Chemistry Reviews, Journal Year: 2025, Volume and Issue: 536, P. 216651 - 216651

Published: April 6, 2025

Language: Английский

Citations

0
Advanced Deposition Methods for Mixed Metal Alloys and Hydroxides as High-Performance Catalysts for the Hydrogen Evolution Reaction DOI
Ariel Friedman, Kevin Yang, Honghao Ge

et al.

ACS Catalysis, Journal Year: 2025, Volume and Issue: unknown, P. 7040 - 7052

Published: April 15, 2025

Language: Английский

Citations

0
Surface Reconstruction of Amorphous Ni─Co─S─O Material with a Functional Gradient Layer for Highly Efficient and Stable Alkaline Hydrogen Evolution DOI
Lijuan Liu,

Yingqiu Zheng,

Wenshu Chen

et al.

Small, Journal Year: 2025, Volume and Issue: unknown

Published: April 22, 2025

Abstract Alkaline water electrolysis holds potential for large‐scale, high‐purity hydrogen production. However, the slow kinetics of dissociation and challenging conditions in alkaline environments complicate search an electrocatalyst with both high activity durability. In this study, a highly active stable amorphous is introduced, 3Ni─Co─S─O, developed via straightforward electrodeposition method evolution reaction (HER). Notably, surface 3Ni─Co─S─O catalyst undergoes compositional reconstruction during HER, yet maintains its structure. This spans roughly 6 µm, leading to gradual decrease Ni S content corresponding increase O concentration toward surface, thereby forming stable, gradient layer. Benefitting from layer nature, demonstrates superior HER activity—requiring only 170 mV achieve industrial current density 1000 mA cm −2 . It also showcases remarkable stability, mere 15 overpotential continuous at 300 24 h, outperforming commercial Pt/C catalyst. The research provides novel approach designing high‐performance electrocatalysts cost‐effectively contributes insights understanding developing advanced catalysts across various applications.

Language: Английский

Citations

0