Defect engineering of Fe-N-C single-atom catalysts for oxygen reduction reaction

催化作用 氧还原反应 石墨烯 Atom(片上系统) 吸附 结晶学 氢氧化物 化学 氧气 氧原子 原子轨道 氧还原 材料科学 无机化学 纳米技术 物理化学 物理 有机化学 电化学 分子 计算机科学 嵌入式系统 电子 量子力学 电极
作者
Run Jiang,Zelong Qiao,Haoxiang Xu,Dapeng Cao
出处
期刊:Chinese Journal of Catalysis [Elsevier BV]
卷期号:48: 224-234 被引量:80
标识
DOI:10.1016/s1872-2067(23)64419-5
摘要

Fe-N-C single-atom catalysts (SACs) have been widely considered as a promising candidate for oxygen reduction reaction (ORR), and its intrinsic activity is closely related to electronic and geometric structure of graphene supports. The carbon defect is widely existed in graphene, of which the intrinsic effect on ORR activity of Fe-N-C is still unclear. Here, we investigate ORR activity of 43 models representing Fe-N-C SACs accompanying with defects, including 555777, 5775 and 585-defects in three shell distances around FeN4 site. Both pre-adsorption of hydroxide radical during ORR and the distance between Fe SAC and defect are demonstrated to affect the orbital hybridizations between Fe SAC and *OH intermediate, including Fe(dxz)-O(px), Fe(dyz)-O(py) and Fe(d22)-O(pz+s) orbitals, which can accordingly regulate ORR activity of defective Fe-N-C materials. Importantly, we establish a geometrical structure descriptor to quantitatively predict the ORR activity of defective Fe-N-C catalysts without any requirements of performing DFT calculations. With the assistance of the structure descriptor, we find that the 585 and 5775-defects of the large ring adjacent to the FeN4 pentagonal in fourth shell significantly boost the ORR performance of Fe-N-C. This work reveals the ORR activity origin of defective Fe-N-C materials, which provides intuitive guidance to boost the ORR performance of Fe-N-C materials by defect engineering, and may be extended to other types of defects and other single-atom catalysts.
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
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
刚刚
小瞬完成签到,获得积分10
刚刚
Juvenilesy的应助被wmy0607采纳,获得10
刚刚
1秒前
禄厄难渝关注了科研通微信公众号
1秒前
1秒前
Y123给Furfuran的求助进行了留言
2秒前
Literature发布了新的文献求助200
2秒前
bkagyin的应助被Cy采纳,获得10
3秒前
三儿发布了新的文献求助50
4秒前
4秒前
123晨+完成签到,获得积分10
4秒前
4秒前
思源的应助被zhangchaobo采纳,获得10
4秒前
李健的应助被Violeta采纳,获得10
4秒前
胡萝卜发布了新的文献求助10
5秒前
执着谷梦发布了新的文献求助10
5秒前
秋风的应助被rose采纳,获得10
5秒前
daydream007发布了新的文献求助10
6秒前
7秒前
Piena发布了新的文献求助10
7秒前
7秒前
jsy发布了新的文献求助10
8秒前
李健的应助被薛jian采纳,获得10
8秒前
he发布了新的文献求助20
10秒前
无昂王发布了新的文献求助10
11秒前
12秒前
容cc完成签到 ,获得积分10
12秒前
拼搏发布了新的文献求助10
12秒前
13秒前
13秒前
灵巧的慕梅完成签到,获得积分10
13秒前
Akim的应助被power采纳,获得10
14秒前
彭于晏的应助被Miyo采纳,获得10
14秒前
14秒前
情怀的应助被wuchun采纳,获得10
14秒前
15秒前
风清扬发布了新的文献求助10
16秒前
hasitana发布了新的文献求助200
16秒前
星星人发布了新的文献求助10
16秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
Rosenblum, Global Change Biology 800
Computational Chemical Reaction Engineering: Modeling, Simulation, and Design with MATLAB 600
Organizational Behavior 510
Management and the Arts 510
CLSI C56QG Examples of Hemolyzed, Icteric, and Lipemic/Turbid Samples Quick Guide 400
The USSR and Eastern Europe : periodicals in Western languages / compiled by Paul L. Horecky and Robert G. Carlton 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 内科学 物理 有机化学 化学工程 生物化学 复合材料 光电子学 细胞生物学 心理学 量子力学 催化作用 物理化学 电极
热门帖子
关注 科研通微信公众号,转发送积分 7801447
求助须知:如何正确求助?哪些是违规求助? 9335885
关于积分的说明 20477032
捐赠科研通 7393069
什么是DOI,文献DOI怎么找? 3326626
关于科研通互助平台的介绍 2473492
邀请新用户注册赠送积分活动 2344576