Dynamic surface self-reconstruction is the key of highly active perovskite nano-electrocatalysts for water splitting

析氧 材料科学 分解水 阳极 钙钛矿(结构) 纳米技术 纳米材料基催化剂 电解水 制氢 催化作用 化学工程 氢经济 电化学 电解 纳米颗粒 电极 化学 光催化 电解质 工程类 生物化学 物理化学
作者
Emiliana Fabbri,Maarten Nachtegaal,Tobias Binninger,Xi Cheng,Bae‐Jung Kim,Julien Durst,Francesco Bozza,Thomas Graule,R. Schäublin,Luke Wiles,Morgan Pertoso,Nemanja Danilovic,Katherine E. Ayers,Thomas J. Schmidt
出处
期刊:Nature Materials [Springer Nature]
卷期号:16 (9): 925-931 被引量:965
标识
DOI:10.1038/nmat4938
摘要

The growing need to store increasing amounts of renewable energy has recently triggered substantial R&D efforts towards efficient and stable water electrolysis technologies. The oxygen evolution reaction (OER) occurring at the electrolyser anode is central to the development of a clean, reliable and emission-free hydrogen economy. The development of robust and highly active anode materials for OER is therefore a great challenge and has been the main focus of research. Among potential candidates, perovskites have emerged as promising OER electrocatalysts. In this study, by combining a scalable cutting-edge synthesis method with time-resolved X-ray absorption spectroscopy measurements, we were able to capture the dynamic local electronic and geometric structure during realistic operando conditions for highly active OER perovskite nanocatalysts. Ba0.5Sr0.5Co0.8Fe0.2O3-δ as nano-powder displays unique features that allow a dynamic self-reconstruction of the material's surface during OER, that is, the growth of a self-assembled metal oxy(hydroxide) active layer. Therefore, besides showing outstanding performance at both the laboratory and industrial scale, we provide a fundamental understanding of the operando OER mechanism for highly active perovskite catalysts. This understanding significantly differs from design principles based on ex situ characterization techniques.
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
surfing发布了新的文献求助10
2秒前
3秒前
hhh完成签到 ,获得积分10
3秒前
4秒前
哒哒哒完成签到,获得积分10
6秒前
执着的莆完成签到,获得积分10
7秒前
8秒前
852应助小米采纳,获得10
9秒前
熹微发布了新的文献求助10
9秒前
跳跃的怀寒完成签到,获得积分10
9秒前
量子星尘发布了新的文献求助10
10秒前
10秒前
大个应助袁梦采纳,获得10
11秒前
研友_VZG7GZ应助飘逸皮卡丘采纳,获得10
11秒前
Robinsn完成签到,获得积分10
11秒前
12秒前
13秒前
13秒前
浮游应助lll采纳,获得10
14秒前
我是老大应助lll采纳,获得10
14秒前
英姑应助蔡从安采纳,获得10
16秒前
lr应助蔡从安采纳,获得10
16秒前
慕青应助乔康采纳,获得10
16秒前
柚子星完成签到,获得积分10
17秒前
17秒前
18秒前
JamesPei应助宋铁柱采纳,获得10
18秒前
okbasf完成签到,获得积分10
19秒前
21秒前
谦谦神棍完成签到,获得积分10
22秒前
lll完成签到,获得积分10
22秒前
23秒前
23秒前
柠溪完成签到 ,获得积分10
24秒前
25秒前
害怕的惜文完成签到,获得积分10
25秒前
25秒前
Orange应助Yt_liu采纳,获得10
25秒前
无辜凝天发布了新的文献求助30
26秒前
27秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Iron toxicity and hematopoietic cell transplantation: do we understand why iron affects transplant outcome? 2000
Teacher Wellbeing: Noticing, Nurturing, Sustaining, and Flourishing in Schools 1200
List of 1,091 Public Pension Profiles by Region 1021
A Technologist’s Guide to Performing Sleep Studies 500
EEG in Childhood Epilepsy: Initial Presentation & Long-Term Follow-Up 500
Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences 500
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 5484179
求助须知:如何正确求助?哪些是违规求助? 4584470
关于积分的说明 14398304
捐赠科研通 4514577
什么是DOI,文献DOI怎么找? 2474031
邀请新用户注册赠送积分活动 1459973
关于科研通互助平台的介绍 1433381