Suppr超能文献

分层 MoP 空心纳米球锚定在 N、P、S 掺杂的多孔碳基质上,作为高效电催化剂用于析氢反应。

Hierarchical MoP Hollow Nanospheres Anchored on a N,P,S-Doped Porous Carbon Matrix as Efficient Electrocatalysts for the Hydrogen Evolution Reaction.

机构信息

State Key Laboratory of Heavy Oil Processing, China University of Petroleum (Beijing), Changping, 102249, P.R. China.

出版信息

ChemSusChem. 2019 Oct 21;12(20):4662-4670. doi: 10.1002/cssc.201902043. Epub 2019 Sep 30.

Abstract

Developing efficient, nonprecious, and durable electrocatalysts with favorable nanostructures is a persistent challenge yet is significant for the hydrogen evolution reaction (HER). Herein, for the first time, a rationally designed strategy is reported for the synthesis of hierarchical hollow MoP nanospheres anchored on N,P,S co-doped porous carbon (hs-MoP/NPSC). Importantly, the porous shell of the hollow nanosphere is constructed of a number of interwoven MoP subunits, which is beneficial for exposing surface active sites as much as possible and promoting the mass transport during the HER process. In addition, the heteroatom-enriched porous carbon networks can further reduce the electron/ion transfer resistance. As expected, the hs-MoP/NPSC electrocatalyst exhibits an encouraging HER activity with a low overpotential of only 70 mV at a current density of 10 mA cm , a small Tafel slope, and long-term durability in alkaline media, outperforming most of reported Pt-free MoP-based electrocatalysts to date. This present work not only develops a highly efficient electrocatalyst for HER but also opens up opportunities to engineer novel architectures for various applications.

摘要

开发高效、非贵金属、长寿命的电催化剂,并具有有利的纳米结构,这是一个持续存在的挑战,但对于析氢反应(HER)而言却具有重要意义。在此,首次报道了一种合理设计的策略,用于合成负载在 N、P、S 共掺杂多孔碳(hs-MoP/NPSC)上的分级中空 MoP 纳米球。重要的是,中空纳米球的多孔壳由许多交织的 MoP 亚单位构成,这有利于尽可能暴露表面活性位点,并在 HER 过程中促进质量传输。此外,富杂原子的多孔碳网络还可以进一步降低电子/离子转移电阻。不出所料,hs-MoP/NPSC 电催化剂在碱性介质中表现出令人鼓舞的 HER 活性,仅需 70 mV 的低过电势即可达到 10 mA cm 的电流密度,具有较小的塔菲尔斜率和长期耐久性,优于迄今为止大多数报道的无 Pt 的基于 MoP 的电催化剂。本工作不仅开发了一种高效的 HER 电催化剂,而且为各种应用的新型结构设计开辟了机会。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验