Precisely designing asymmetrical selenium-based dual-atom sites for efficient oxygen reduction

异核分子 催化作用 Atom(片上系统) 化学 氧化还原 无机化学 分子 有机化学 计算机科学 嵌入式系统
作者
Xiaochen Wang,Ning Zhang,Huishan Shang,Haojie Duan,Zhiyi Sun,Lili Zhang,Yuanting Lei,Xuan Luo,Liang Zhang,Bing Zhang,Wenxing Chen
出处
期刊:Nature Communications [Springer Nature]
卷期号:16 (1): 470-470 被引量:60
标识
DOI:10.1038/s41467-025-55862-6
摘要

Owing to their synergistic interactions, dual-atom catalysts (DACs) with well-defined active sites are attracting increasing attention. However, more experimental research and theoretical investigations are needed to further construct explicit dual-atom sites and understand the synergy that facilitates multistep catalytic reactions. Herein, we precisely design a series of asymmetric selenium-based dual-atom catalysts that comprise heteronuclear SeN2–MN2 (M = Fe, Mn, Co, Ni, Cu, Mo, etc.) active sites for the efficient oxygen reduction reaction (ORR). Spectroscopic characterisation and theoretical calculations revealed that heteronuclear selenium atoms can efficiently polarise the charge distribution of other metal atoms through short-range regulation. In addition, compared with the Se or Fe single-atom sites, the SeFe dual-atom sites facilitate a reduction in the conversion energy barrier from *O to *OH via the coadsorption of *O intermediates. Among these designed selenium-based dual-atom catalysts, selenium-iron dual-atom catalysts achieves superior alkaline ORR performance, with a half-wave potential of 0.926 V vs. a reversible hydrogen electrode. In addition, the SeN2–FeN2-based Zn–air battery has a high specific capacity (764.8 mAh g−1) and a maximum power density (287.2 mW cm−2). This work may provide a good perspective for designing heteronuclear DACs to improve ORR efficiency. Dual-atom catalysts with precise active sites are gaining attention, but further studies are needed to optimise their construction and understand their catalytic synergy. Here the authors report a series of asymmetric selenium-based dual- atom catalysts that comprise heteronuclear SeN2–MN2 (M = Fe, Mn, Co, Ni, Cu, Mo, etc.) active sites for the efficient oxygen reduction reaction.
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
longer发布了新的文献求助10
刚刚
刚刚
斯文败类应助树懒采纳,获得10
刚刚
刚刚
我是老大应助阳光的梦寒采纳,获得50
刚刚
上官蔚蓝发布了新的文献求助10
刚刚
三世完成签到 ,获得积分10
1秒前
1秒前
可靠的白竹完成签到 ,获得积分10
1秒前
小吴发布了新的文献求助10
1秒前
Lucas应助平淡冰蝶采纳,获得10
2秒前
2秒前
2秒前
科研通AI2S应助Kal采纳,获得10
3秒前
天天快乐应助odetta采纳,获得10
3秒前
3秒前
3秒前
4秒前
火乐发布了新的文献求助10
4秒前
zzww完成签到 ,获得积分10
4秒前
善学以致用应助蜘蛛侠采纳,获得10
5秒前
桐桐应助about0731采纳,获得10
5秒前
量子星尘发布了新的文献求助10
5秒前
无花果应助美丽星期五采纳,获得10
6秒前
迷人的芹菜完成签到,获得积分20
6秒前
星河完成签到 ,获得积分10
6秒前
zhq发布了新的文献求助10
7秒前
小迷糊完成签到,获得积分10
7秒前
冰勾板勾发布了新的文献求助10
7秒前
笑嘻嘻发布了新的文献求助10
8秒前
qing完成签到 ,获得积分10
8秒前
萧衡发布了新的文献求助20
8秒前
Akim应助生动的板栗采纳,获得10
9秒前
9秒前
9秒前
小二郎应助yinuosi采纳,获得10
10秒前
爆米花应助xiaoma采纳,获得10
10秒前
不错完成签到,获得积分20
10秒前
Dylan完成签到,获得积分10
10秒前
11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
List of 1,091 Public Pension Profiles by Region 1561
Binary Alloy Phase Diagrams, 2nd Edition 1200
Holistic Discourse Analysis 600
Atlas of Liver Pathology: A Pattern-Based Approach 500
Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences 500
Using Genomics to Understand How Invaders May Adapt: A Marine Perspective 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 5505457
求助须知:如何正确求助?哪些是违规求助? 4601071
关于积分的说明 14475473
捐赠科研通 4535189
什么是DOI,文献DOI怎么找? 2485194
邀请新用户注册赠送积分活动 1468222
关于科研通互助平台的介绍 1440685