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三维导电硫化物纳米阵列上超快形成非晶态双金属氢氧化物薄膜用于大电流密度析氧电催化。

Ultrafast Formation of Amorphous Bimetallic Hydroxide Films on 3D Conductive Sulfide Nanoarrays for Large-Current-Density Oxygen Evolution Electrocatalysis.

机构信息

State Key Laboratory of Inorganic Synthesis and Preparative Chemistry, College of Chemistry, Jilin University, Changchun, 130012, P. R. China.

Key Laboratory of Bio-Inspired Smart Interfacial Science and Technology of Ministry of Education, School of Chemistry and Environment, Beihang University, Beijing, 100191, P. R. China.

出版信息

Adv Mater. 2017 Jun;29(22). doi: 10.1002/adma.201700404. Epub 2017 Mar 29.

Abstract

Developing nonprecious oxygen evolution electrocatalysts that can work well at large current densities is of primary importance in a viable water-splitting technology. Herein, a facile ultrafast (5 s) synthetic approach is reported that produces a novel, efficient, non-noble metal oxygen-evolution nano-electrocatalyst that is composed of amorphous Ni-Fe bimetallic hydroxide film-coated, nickel foam (NF)-supported, Ni S nanosheet arrays. The composite nanomaterial (denoted as Ni-Fe-OH@Ni S /NF) shows highly efficient electrocatalytic activity toward oxygen evolution reaction (OER) at large current densities, even in the order of 1000 mA cm . Ni-Fe-OH@Ni S /NF also gives an excellent catalytic stability toward OER both in 1 m KOH solution and in 30 wt% KOH solution. Further experimental results indicate that the effective integration of high catalytic reactivity, high structural stability, and high electronic conductivity into a single material system makes Ni-Fe-OH@Ni S /NF a remarkable catalytic ability for OER at large current densities.

摘要

开发能够在大电流密度下良好工作的非贵金属氧析出电催化剂在可行的水分解技术中至关重要。在此,报道了一种简便的超快(5 s)合成方法,该方法制备了一种由非晶态 Ni-Fe 双金属氢氧化物薄膜包覆、负载在泡沫镍(NF)上的 Ni S 纳米片阵列组成的新型高效非贵金属氧析出纳米电催化剂。该复合材料(表示为 Ni-Fe-OH@Ni S /NF)在大电流密度下对析氧反应(OER)表现出高效的电催化活性,甚至在 1000 mA cm 的电流密度下也是如此。Ni-Fe-OH@Ni S /NF 在 1 m KOH 溶液和 30 wt% KOH 溶液中均表现出优异的 OER 催化稳定性。进一步的实验结果表明,将高催化活性、高结构稳定性和高电子导电性有效集成到单个材料体系中,使 Ni-Fe-OH@Ni S /NF 在大电流密度下具有显著的 OER 催化能力。

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