Quantifying the Reduction of OER Overpotential on Magnetic Electrocatalysts Under Magnetic Fields.

IF 9.1 2区 材料科学 Q1 CHEMISTRY, PHYSICAL
Yu Xia, Weiyuan Chen, Priscila Vensaus, Yiwei Sun, Yunchang Liang, Magalí Lingenfelder, Wenbo Ju
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引用次数: 0

Abstract

Magnetic-field enhancement of the oxygen evolution reaction (OER) represents a promising route toward more efficient alkaline water electrolyzers, yet its origin remains debated due to overlapping effects of mass transport and reaction kinetics. Here, we present a general experimental strategy that employs strong forced convection to suppress uncontrolled transport arising from natural diffusion and magnetohydrodynamic (MHD) flows. Using polycrystalline Au electrodes, we show that this approach resolves subtle OER variations under controlled flow and field conditions. Notably, spontaneous MHD flows near hard-magnetic electrodes are identified for the first time, highlighting a major complication in interpreting magnetic effects. Forced convection eliminates these artifacts, enabling reliable quantification of intrinsic activity changes. Systematic analysis of 3d transition-metal catalysts reveals a clear composition dependence: Fe-based catalysts exhibit the strongest magnetic enhancement, followed by Mn and Co, whereas Ni shows minimal response. Moreover, synergistic interactions between different elements further modulate the effect. By decoupling magnetic influences on mass transport from those on kinetics, this method provides a universal framework to assess how magnetic fields alter electrocatalysis.

磁场作用下磁性电催化剂OER过电位还原的定量研究。
磁场增强析氧反应(OER)代表了一条通往更高效碱性水电解槽的有希望的途径,但由于质量传递和反应动力学的重叠影响,其起源仍然存在争议。在这里,我们提出了一种通用的实验策略,采用强强制对流来抑制由自然扩散和磁流体动力学(MHD)流动引起的不受控制的输运。使用多晶金电极,我们表明这种方法可以在受控的流量和场条件下解决细微的OER变化。值得注意的是,在硬磁电极附近首次发现了自发MHD流动,这突出了解释磁效应的一个主要复杂性。强制对流消除了这些人为因素,使固有活动变化的可靠量化成为可能。对三维过渡金属催化剂的系统分析揭示了明显的成分依赖性:铁基催化剂表现出最强的磁增强,其次是Mn和Co,而Ni表现出最小的响应。此外,不同元素之间的协同作用进一步调节了这种效应。通过将磁场对质量输运的影响与动力学的影响解耦,该方法提供了一个通用的框架来评估磁场如何改变电催化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Small Methods
Small Methods Materials 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.
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