{"title":"Quantifying the Reduction of OER Overpotential on Magnetic Electrocatalysts Under Magnetic Fields.","authors":"Yu Xia, Weiyuan Chen, Priscila Vensaus, Yiwei Sun, Yunchang Liang, Magalí Lingenfelder, Wenbo Ju","doi":"10.1002/smtd.202501068","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":229,"journal":{"name":"Small Methods","volume":" ","pages":"e01068"},"PeriodicalIF":9.1000,"publicationDate":"2025-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Small Methods","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1002/smtd.202501068","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
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.
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.