Suppr超能文献

用于在Pt/Ir催化剂层上高效析氧反应的原子层沉积法。

Atomic layer deposition for efficient oxygen evolution reaction at Pt/Ir catalyst layers.

作者信息

Schlicht Stefanie, Percin Korcan, Kriescher Stefanie, Hofer André, Weidlich Claudia, Wessling Matthias, Bachmann Julien

机构信息

Friedrich-Alexander-Universität Erlangen-Nürnberg, Chair 'Chemistry of Thin Film Materials', IZNF, Cauerstr. 3, 91058 Erlangen, Germany.

DWI-Leibniz Institute for Interactive Materials, Forckenbeckstr. 50, 52074 Aachen, Germany.

出版信息

Beilstein J Nanotechnol. 2020 Jun 22;11:952-959. doi: 10.3762/bjnano.11.79. eCollection 2020.

Abstract

We provide a direct comparison of two distinct methods of Ti felt surface treatment and Pt/Ir electrocatalyst deposition for the positive electrode of regenerative fuel cells and vanadium-air redox flow batteries. Each method is well documented in the literature, and this paper provides a direct comparison under identical experimental conditions of electrochemical measurements and in identical units. In the first method, based on classical engineering, the bimetallic catalyst is deposited by dip-coating in a precursor solution of the salts followed by their thermal decomposition. In the alternative method, more academic in nature, atomic layer deposition (ALD) is applied to the felts after anodization. ALD allows for a controlled coating with ultralow noble-metal loadings in narrow pores. In acidic electrolyte, the ALD approach yields improved mass activity (557 A·g as compared to 80 A·g at 0.39 V overpotential) on the basis of the noble-metal loading, as well as improved stability.

摘要

我们对用于再生燃料电池和钒空气氧化还原液流电池正极的两种不同的钛毡表面处理及铂/铱电催化剂沉积方法进行了直接比较。每种方法在文献中都有详细记载,本文在相同的电化学测量实验条件下且以相同的单位进行了直接比较。第一种方法基于经典工程学,通过在盐的前驱体溶液中浸涂然后进行热分解来沉积双金属催化剂。另一种方法本质上更具学术性,是在阳极氧化后的毡上应用原子层沉积(ALD)。ALD能够在窄孔中以超低贵金属负载量进行可控涂层。在酸性电解质中,基于贵金属负载量,ALD方法产生了更高的质量活性(在0.39 V过电位下为557 A·g,而另一种方法为80 A·g)以及更好的稳定性。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验