Suppr超能文献

激光烧蚀铜泡沫负载的Co(OH)纳米片:一种高效的析氧反应电催化剂。

Co(OH) Nanosheets Supported on Laser Ablated Cu Foam: An Efficient Oxygen Evolution Reaction Electrocatalyst.

作者信息

Zhou Xinfeng, Qi Weihong, Yin Kai, Zhang Ning, Gong Shen, Li Zhou, Li Yejun

机构信息

School of Materials Science and Engineering, Central South University, Changsha, China.

State Key Laboratory of Solidification Processing, Center of Advanced Lubrication and Seal Materials, Northwestern Polytechnical University, Xi'an, China.

出版信息

Front Chem. 2020 Jan 10;7:900. doi: 10.3389/fchem.2019.00900. eCollection 2019.

Abstract

Highly efficient and low-cost non-noble metal based electrocatalysts for oxygen evolution reaction (OER) have attracted more and more attention in recent years. However, the current research has been focused on the construction of novel OER electrocatalysts themselves, little attention has been paid to the modification of the substrates. In this work, a different strategy is proposed via laser ablation to fabricate the Cu foams with rich micro/nano-structures as OER substrates. Later, the precipitation conversion method was utilized to grow cobalt hydroxide on the laser fabricated Cu foams. The as-produced Cu/Cu oxides/Co(OH) electrocatalysts exhibit high OER activity in 1 M KOH, requiring an overpotential of only 259 mV at a current density of 50 mA cm with excellent mild-term durability. The improved catalytic performance of the prepared samples can be attributed to the increased surface area, rich active sites, and the superhydrophilicity of the laser produced micro/nano-structures.

摘要

近年来,用于析氧反应(OER)的高效低成本非贵金属基电催化剂受到了越来越多的关注。然而,目前的研究主要集中在新型OER电催化剂本身的构建上,而对基底的改性关注较少。在这项工作中,我们提出了一种不同的策略,即通过激光烧蚀制备具有丰富微纳结构的泡沫铜作为OER基底。随后,利用沉淀转化法在激光制备的泡沫铜上生长氢氧化钴。所制备的Cu/Cu氧化物/Co(OH)电催化剂在1 M KOH中表现出高OER活性,在电流密度为50 mA cm时过电位仅为259 mV,且具有优异的中期耐久性。所制备样品催化性能的提高可归因于表面积的增加、丰富的活性位点以及激光产生的微纳结构的超亲水性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9153/6966496/48f10e9b11a3/fchem-07-00900-g0007.jpg

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