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学術論文

Ion solvation kinetics in bipolar membranes and at electrolyte–metal interfaces

MPS-Authors
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Rodellar,  Carlos G.       
Interface Science, Fritz Haber Institute, Max Planck Society;

/persons/resource/persons295696

Gisbert Gonzalez,  José Maria
Interface Science, Fritz Haber Institute, Max Planck Society;

/persons/resource/persons295691

Sarabia,  Francisco J.       
Interface Science, Fritz Haber Institute, Max Planck Society;

/persons/resource/persons22020

Roldan Cuenya,  Beatriz       
Interface Science, Fritz Haber Institute, Max Planck Society;

/persons/resource/persons260261

Oener,  Sebastian       
Interface Science, Fritz Haber Institute, Max Planck Society;

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s41560-024-01484-z.pdf
(出版社版), 2MB

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引用

Rodellar, C. G., Gisbert Gonzalez, J. M., Sarabia, F. J., Roldan Cuenya, B., & Oener, S. (2024). Ion solvation kinetics in bipolar membranes and at electrolyte–metal interfaces. Nature Energy, 9(5), 548-558. doi:10.1038/s41560-024-01484-z.


引用: https://hdl.handle.net/21.11116/0000-000E-B382-4
要旨
Ion (de)solvation at solid–electrolyte interfaces is pivotal for energy and chemical conversion technology, such as (electro)catalysis, batteries and bipolar membranes. For example, during the electrocatalytic hydrogen evolution reaction in alkaline media, water needs to be dissociated and hydroxide ions solvated—a process that is not well understood. Here we study water dissociation and ion solvation kinetics in isolation at polymeric bipolar membrane and electrolyte–metal interfaces. We discover bias-dependent relationships between the activation entropy and enthalpy, which we link to a bias-dependent dispersion of interfacial capacitance. Furthermore, our results indicate that OH− solvation is kinetically slower than H+ solvation and that the solvation kinetics display characteristics that are independent of the catalyst structure. We attribute this to a universal amount of excess charge needed to induce electric fields that alter the interfacial entropy of water. Of fundamental interest, these results are critical to enable knowledge-driven bipolar membrane and electrocatalyst design.