Jiseok Kwon, Seunggun Choi, Jooheon Sun, Seonghan Jo, Jeongheon Kim, Hee Eun Yoo, Ungyu Paik, Taeseup Song
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引用次数: 0
Abstract
Hydrogen evolution reaction (HER) under alkaline conditions is determined by the water dissociation process. Strengthening the adsorption ability of the electrocatalyst is crucial to promoting water dissociation in the alkaline HER, whereas too-intense adsorption will poison the active sites. Herein, the adsorption ability of NiFeP is modulated by nonmetal F doping for an efficient and durable alkaline HER. F incorporation in NiFeP (NiFePF) tailors the electronic structure of Ni, Fe, and P, optimizing the adsorption of *OH/*H on the active sites. The balanced *OH/*H adsorption facilitates the water dissociation and hydrogen evolution of NiFePF, exhibiting the smaller overpotential of 233 mV at 100 mA cm-2. Furthermore, NiFePF achieves 1 A cm-2 at an overpotential of only 231 mV under 30 wt% KOH. The balanced *OH/*H adsorption ability in NiFePF facilitates the desorption of *OH and alleviates the poisoning active center, limiting the surface hydroxylation of NiFePF to a few nanometers. This enables NiFePF to remain stable for 360 h, demonstrating its commercial potential.
碱性条件下的析氢反应是由水解离过程决定的。加强电催化剂的吸附能力是促进碱性HER中水解离的关键,而过度的吸附会对活性位点造成毒害。本文通过掺杂非金属F来调节NiFeP的吸附能力,从而获得高效耐用的碱性HER。F在NiFeP中的掺入(NiFePF)调整了Ni、Fe和P的电子结构,优化了活性位点对*OH/*H的吸附。平衡的*OH/*H吸附有利于NiFePF的水解离和析氢,在100 mA cm-2下表现出较小的过电位233mv。此外,在30 wt% KOH下,NiFePF在过电位仅为231 mV时达到1 A cm-2。NiFePF中*OH/*H的平衡吸附能力有利于*OH的解吸,减轻中毒活性中心,将NiFePF的表面羟基化限制在几纳米范围内。这使得NiFePF在360小时内保持稳定,展示了其商业潜力。
Small MethodsMaterials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍:
Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques.
With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community.
The online ISSN for Small Methods is 2366-9608.