析氧
铬铁矿
过电位
覆盖层
曲面重建
路易斯酸
材料科学
纳米技术
表面工程
八面体
电催化剂
化学工程
无机化学
氧气
密度泛函理论
化学
电导率
物理化学
氧化还原
化学反应工程
表面改性
催化作用
作者
Abhirami V Krishnan,Kavish Saini,Lissette Garcia Enriquez,C.V. Ramana,Sreeprasad T. Sreenivasan
出处
期刊:Small
[Wiley]
日期:2025-09-27
卷期号:21 (45): e08245-e08245
被引量:2
标识
DOI:10.1002/smll.202508245
摘要
Abstract Atomic‐scale engineering of chromite spinels featuring redox‐active tetrahedral A‐sites and strong Cr–O covalency offers a promising route to superior platinum‐group‐metal‐free oxygen evolution reaction (OER) catalysts. However, comprehensive studies addressing how cation substitution influences surface chemistry and governs OER activity and durability in chromite spinels remain limited. Here, a systematic investigation of the multicationic chromite series Ni x Fe y Cr 3−x−y O 4 is presented, identifying composition‐dependent Lewis acidity as a descriptor of superior OER performance. It is further demonstrated that tuning surface acidity directly controls dynamic reconstruction processes and lattice‐oxygen participation during spinel‐based electrocatalysis. Following activation, the optimized Ni 0 . 8 Fe 0 . 3 Cr 1 . 9 O 4 catalyst delivers a current density of 10 mA cm −2 at an overpotential of 235 mV, surpassing RuO 2 , with excellent long‐term stability. Integrating microscopic and spectroscopic analysis with operando impedance spectroscopy, it shows that activation generates an oxyhydroxide overlayer and reveals a previously unrecognized link between surface Lewis acidity and the growth kinetics and activity of these shells. Density functional theory calculations indicate that Fe incorporation at octahedral sites raises the O 2p‐band center and lowers oxygen‐vacancy formation energy, promoting lattice‐oxygen activation and triggering reconstruction, yielding enhanced OER. This work integrates cation‐driven surface‐acidity modulation, acidity‐governed reconstruction, and OER activity enhancement into a unified predictive framework for designing earth‐abundant spinel‐based catalysts.
科研通智能强力驱动
Strongly Powered by AbleSci AI