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抑制动态演化的RuO的过氧化以实现酸性水电解活性-稳定性的双赢。

Inhibiting Overoxidation of Dynamically Evolved RuO to Achieve a Win-Win in Activity-Stability for Acidic Water Electrolysis.

作者信息

Li Wenjing, Chen Dingming, Lou Zhenxin, Yuan Haiyang, Fu Xiaopeng, Lin Hao Yang, Lin Miaoyu, Hou Yu, Qi Haifeng, Liu Peng Fei, Yang Hua Gui, Wang Haifeng

机构信息

Key Laboratory for Ultrafine Materials of Ministry of Education, Shanghai Engineering Research Center of Hierarchical Nanomaterials, School of Materials Science and Engineering, East China University of Science and Technology, Shanghai 200237, China.

State Key Laboratory of Green Chemical Engineering and Industrial Catalysis, Center for Computational Chemistry and Research Institute of Industrial Catalysis, School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai 200237, China.

出版信息

J Am Chem Soc. 2025 Mar 26;147(12):10446-10458. doi: 10.1021/jacs.4c18300. Epub 2025 Feb 28.

Abstract

Proton exchange membrane (PEM) water electrolysis offers an efficient route to large-scale green hydrogen production, in which the RuO catalyst exhibits superior activity but limited stability. Unveiling the atomic-scale structural evolution during operando reaction conditions is critical but remains a grand challenge for enhancing the durability of the RuO catalyst in the acidic oxygen evolution reaction (a-OER). This study proposes an adaptive machine learning workflow to elucidate the potential-dependent state-to-state global evolution of the RuO(110) surface within a complex composition and configuration space, revealing the correlation between structural patterns and stability. We identify the active state with distorted RuO units that self-evolve at low potential, which exhibits minor Ru dissolution and an activity self-promotion phenomenon. However, this state exhibits a low potential resistance capacity (PRC) and evolves into inert RuO units at elevated potential. To enhance PRC and mitigate the overevolution of the active state, we explore the metal doping engineering and uncover an inverse volcano-type doping rule: the doped metal-oxygen bond strength should significantly differ from the Ru-O bond. This rule provides a theoretical framework for designing stable RuO-based catalysts and clarifies current discrepancies regarding the roles of different metals in stabilizing RuO. Applying this rule, we predict and confirm experimentally that Na can effectively stabilize RuO in its active state. The synthesized Na-RuO operates in a-OER for over 1800 h without any degradation and enables long-term durability in PEM electrolysis. This work enhances our understanding of the operando structural evolution of RuO and aids in designing durable catalysts for a-OER.

摘要

质子交换膜(PEM)水电解为大规模绿色制氢提供了一条有效途径,其中RuO催化剂表现出优异的活性,但稳定性有限。揭示在工作反应条件下的原子尺度结构演变至关重要,但对于提高RuO催化剂在酸性析氧反应(a-OER)中的耐久性而言,仍然是一个巨大的挑战。本研究提出了一种自适应机器学习工作流程,以阐明在复杂的组成和构型空间内RuO(110)表面的电位依赖状态到状态的全局演变,揭示结构模式与稳定性之间的相关性。我们确定了在低电位下自我演变的具有扭曲RuO单元的活性状态,该状态表现出轻微的Ru溶解和活性自我促进现象。然而,这种状态表现出较低的电位抗性能力(PRC),并在高电位下演变为惰性RuO单元。为了提高PRC并减轻活性状态的过度演变,我们探索了金属掺杂工程,并发现了一种反火山型掺杂规则:掺杂的金属-氧键强度应与Ru-O键有显著差异。该规则为设计稳定的RuO基催化剂提供了理论框架,并澄清了目前关于不同金属在稳定RuO中的作用的差异。应用该规则,我们预测并通过实验证实Na可以有效地将RuO稳定在其活性状态。合成的Na-RuO在a-OER中运行超过1800小时而无任何降解,并在PEM电解中实现了长期耐久性。这项工作加深了我们对RuO工作结构演变的理解,并有助于设计用于a-OER的耐用催化剂。

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