Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/116962
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Research Institute for Advanced Manufacturing | - |
| dc.contributor | Department of Industrial and Systems Engineering | - |
| dc.creator | Chang, B | - |
| dc.creator | Liu, X | - |
| dc.creator | Zuo, S | - |
| dc.creator | Ren, Y | - |
| dc.creator | He, J | - |
| dc.creator | Wang, D | - |
| dc.creator | Lei, Y | - |
| dc.creator | Hu, M | - |
| dc.creator | Li, WL | - |
| dc.creator | Khan, MA | - |
| dc.creator | Aleisa, R | - |
| dc.creator | Hu, R | - |
| dc.creator | Hou, Y | - |
| dc.creator | Liu, H | - |
| dc.creator | Zhou, W | - |
| dc.creator | Lai, Z | - |
| dc.creator | Alshareef, HN | - |
| dc.creator | Zhang, H | - |
| dc.date.accessioned | 2026-01-21T03:54:22Z | - |
| dc.date.available | 2026-01-21T03:54:22Z | - |
| dc.identifier.uri | http://hdl.handle.net/10397/116962 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Nature Publishing Group | en_US |
| dc.rights | Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/. | en_US |
| dc.rights | © The Author(s) 2025 | en_US |
| dc.rights | The following publication Chang, B., Liu, X., Zuo, S. et al. Dynamic construction of a durable epitaxial catalytic layer for industrial alkaline water splitting. Nat Commun 16, 7959 (2025) is available at https://doi.org/10.1038/s41467-025-63361-x. | en_US |
| dc.title | Dynamic construction of a durable epitaxial catalytic layer for industrial alkaline water splitting | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.volume | 16 | - |
| dc.identifier.doi | 10.1038/s41467-025-63361-x | - |
| dcterms.abstract | Optimizing the catalyst-electrolyte interface structure is crucial for enhancing the performance of electrochemical alkaline hydrogen evolution reaction. Traditional approaches typically focus on regulating the thermodynamic barriers of adsorption and desorption for reactants, intermediates, and ions at active sites on the solid electrode surface. However, the structure of the electrical double layer influences the concentration of intermediates, adsorption energy, and surface reaction kinetics. Here, we dynamically construct a dense epitaxial hydroxide layer on nickel molybdate, forming an effective protective barrier to prevent molybdenum leaching and enhance material stability. This optimization enhances local electric field increasing the concentration of hydrated potassium ions within the outer Helmholtz plane. As a result, the interfacial hydrogen-bond network improves, water availability on the catalyst surface increases, and reaction kinetics accelerate. The optimized material operates stably for 1400 h at a current density of 0.45 A cm−2 in an industrial alkaline electrolyzer. Our dual-optimization strategy of dynamically constructing an epitaxial catalytic layer offers valuable insights for developing stable, high-current-density electrocatalytic materials. | - |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | Nature communications, 2025, v. 16, 7959 | - |
| dcterms.isPartOf | Nature communications | - |
| dcterms.issued | 2025 | - |
| dc.identifier.scopus | 2-s2.0-105014624618 | - |
| dc.identifier.pmid | 40858648 | - |
| dc.identifier.eissn | 2041-1723 | - |
| dc.identifier.artn | 7959 | - |
| dc.description.validate | 202601 bcch | - |
| dc.description.oa | Version of Record | en_US |
| dc.identifier.FolderNumber | OA_Scopus/WOS | en_US |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | This work received financial support from King Abdullah University of Science and Technology (KAUST) and Center of Excellence for Renewable Energy and Storage Technologies under award number 5937, National Natural Science Foundation of China (52202366), Natural Science Foundation of Shandong Province (2025HWYQ-050, ZR2021QE011, ZR2021JQ15), Taishan Scholar Project of Shandong Province (tstp20240515, tsqn202312217), and Innovative Team Project of Jinan (2021GXRC019). For computer time, this research used Shaheen III and Ibex managed by the KAUST Supercomputing Core Laboratory under project K10175. | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.description.oaCategory | CC | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| s41467-025-63361-x.pdf | 3.24 MB | Adobe PDF | View/Open |
SCOPUSTM
Citations
27
Citations as of May 8, 2026
WEB OF SCIENCETM
Citations
19
Citations as of Apr 23, 2026
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.



