Industrial stainless steel meshes for efficient electrocatalytic hydrogen evolution

多边形网格 材料科学 冶金 计算机科学 化学 计算机图形学(图像) 有机化学
作者
Yanhong Liu,Kewei Zhang,Dongxu Zhang,Weixuan Dong,Tianyao Jiang,Hongbo Zhou,Lixia Li,Baodong Mao
出处
期刊:Journal of energy storage [Elsevier]
卷期号:41: 102844-102844 被引量:13
标识
DOI:10.1016/j.est.2021.102844
摘要

• Industrial 316 L stainless steel exhibit excellent electrocatalytic HER activity. • The HER activity was tuned by the mesh number. • The optimized 316 L SS-1600 obtains a low overpotential of 209.8 mV at 10 mA cm −2 and a small Tafel slope (115.6 mV dec −1 ). The electrocatalytic water splitting to hydrogen and oxygen plays a critical role on renewable energy conversion and storage, which relies heavily on the development of high-efficiency, low-cost and robust catalysts. Here, employing the industrial 316 L stainless steel (SS), the hydrogen evolution reaction (HER) performance of a series of SS meshes with different mesh number (100–1600) were studied in acidic condition. The results exhibit that the cheap industrial 316 L SS meshes have excellent electrocatalytic HER activity. Meanwhile, the electrocatalytic HER performance of the 316 L SS meshes increases with the increase of mesh number. The HER activity was increased with the mesh number increases from 100 to 1600 meshes, where the optimized 316 L SS-1600 obtains a low overpotential of 209.8 mV at the current density of 10 mA cm −2 and a small Tafel slope (115.6 mV dec −1 ). However, with further increase of the mesh number from 1600 meshes to 2800 meshes, the HER performance started to decrease. A possible mechanism for the effect of the mesh number on HER performance was proposed, which can be ascribed to the electrochemical specific surface area and the tight interweaving of SS mesh for hydrogen release. This work provides an important direction for the performance improvement of the low-cost industrially available electrodes towards scale-up electrocatalytic hydrogen production and renewable energy storage.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
大肥狗发布了新的文献求助10
刚刚
David完成签到,获得积分10
刚刚
2秒前
maoxiaogou完成签到,获得积分10
3秒前
Akim应助诚心的鸣凤采纳,获得10
3秒前
李大柱发布了新的文献求助10
4秒前
希望天下0贩的0应助dove采纳,获得10
4秒前
5秒前
6秒前
科研通AI6应助123321采纳,获得10
6秒前
6秒前
安详猕猴桃完成签到,获得积分10
7秒前
老实的乐儿完成签到 ,获得积分10
8秒前
scc发布了新的文献求助10
8秒前
8秒前
商文宇发布了新的文献求助10
10秒前
LI发布了新的文献求助10
10秒前
11秒前
yang发布了新的文献求助10
12秒前
天苍野茫完成签到,获得积分10
12秒前
12秒前
zzz完成签到 ,获得积分10
13秒前
14秒前
14秒前
14秒前
heart发布了新的文献求助10
15秒前
风云无泪发布了新的文献求助10
15秒前
lxm发布了新的文献求助30
16秒前
zz发布了新的文献求助10
16秒前
一枝鸭发布了新的文献求助10
17秒前
齐qqqqqqq完成签到 ,获得积分10
18秒前
19秒前
19秒前
大喜子发布了新的文献求助10
19秒前
醉熏的以蓝完成签到 ,获得积分10
19秒前
20秒前
王哈哈发布了新的文献求助30
21秒前
蕊蕊完成签到,获得积分10
21秒前
noneface完成签到,获得积分10
22秒前
打打应助scc采纳,获得10
22秒前
高分求助中
晶体学对称群—如何读懂和应用国际晶体学表 1500
Constitutional and Administrative Law 1000
Microbially Influenced Corrosion of Materials 500
Die Fliegen der Palaearktischen Region. Familie 64 g: Larvaevorinae (Tachininae). 1975 500
Numerical controlled progressive forming as dieless forming 400
Rural Geographies People, Place and the Countryside 400
Machine Learning for Polymer Informatics 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5384308
求助须知:如何正确求助?哪些是违规求助? 4507209
关于积分的说明 14027157
捐赠科研通 4416820
什么是DOI,文献DOI怎么找? 2426144
邀请新用户注册赠送积分活动 1418932
关于科研通互助平台的介绍 1397256