Spin regulation for efficient electrocatalytic N2 reduction over diatomic Fe-Mo catalyst

催化作用 自旋态 化学 异核分子 石墨烯 纳米技术 材料科学 无机化学 分子 有机化学
作者
Shuaishuai Gao,Xiaojing Liu,Zhiwei Wang,Yantong Lu,Rongjian Sa,Qiaohong Li,Chenghua Sun,Xin Chen,Zuju Ma
出处
期刊:Journal of Colloid and Interface Science [Elsevier BV]
卷期号:630 (Pt B): 215-223 被引量:55
标识
DOI:10.1016/j.jcis.2022.10.099
摘要

Electrocatalytic nitrogen reduction reaction (eNRR) is a promising method for the sustainable production of ammonia as an alternative to the traditional energy-intensive Haber-Bosch process. In this work, an efficient strategy by atomic spin regulation to promote NRR through Fe-transition metal (TM) hybrid heteronuclear dual-atom catalysts has been studied. By means of DFT computations, the stability, activity, and selectivity of 30 kinds of Fe-based dual-atoms anchored on N-doped porous graphene are systematically investigated to evaluate their catalytic performance. Fe/MoNC is screened as an excellent NRR catalyst with the limiting potentials of 0.63 V, and also suppresses HER. In the Fe/MoNC, the neighboring Fe atom regulates the spin state of the Mo center in MoN4 from high-spin state (2.63 μB) to medium-spin state (0.74 μB), which can effectively relieve the strong overlapping between Mo 4d orbital with the NxHy intermediates, promote the desorption of reaction product, and eventually achieve a lower limiting potential. Interestingly, the archetype of the active center of nitrogenase is also a FeMo-cofactor, which is consistent with our screening results. The work may provide new insight into the mechanism of nitrogenase, and promote the rational design of efficient NRR catalysts by atomic spin regulation.
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
kwan发布了新的文献求助20
1秒前
深情的大碗完成签到,获得积分10
1秒前
852应助蝴蝶结教教主采纳,获得30
1秒前
2秒前
隐形曼青应助Dream采纳,获得10
2秒前
晶坚强发布了新的文献求助10
2秒前
2秒前
2秒前
天天快乐应助hfr采纳,获得10
3秒前
华仔应助烂漫猫咪采纳,获得10
3秒前
4秒前
优雅老六应助wyc采纳,获得10
4秒前
4秒前
我是小张发布了新的文献求助10
4秒前
5秒前
甜甜的花生完成签到,获得积分10
5秒前
顾矜应助laola采纳,获得10
6秒前
22336应助猫猫雨采纳,获得20
6秒前
6秒前
7秒前
7秒前
平常的语梦完成签到,获得积分10
7秒前
施不评发布了新的文献求助10
8秒前
赘婿应助LDX采纳,获得30
8秒前
一去紫台发布了新的文献求助10
8秒前
zxw完成签到,获得积分10
8秒前
cfw发布了新的文献求助10
8秒前
9秒前
9秒前
Cm666完成签到,获得积分10
9秒前
zmj完成签到,获得积分10
10秒前
长情奇异果完成签到,获得积分10
10秒前
asdfgh完成签到,获得积分10
11秒前
11秒前
程亦川完成签到 ,获得积分10
11秒前
Nolan完成签到,获得积分10
11秒前
11秒前
蓝天应助MCs采纳,获得10
12秒前
Caerk发布了新的文献求助10
12秒前
NexusExplorer应助皮皮采纳,获得10
13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
Resistance Spot Welding Dataset for Automobile Body-in-White Quality Analysis 748
日本現代怪異事典 副読本 700
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 650
Machine Learning for Asset Management and Pricing 600
Numerical analysis of the coupled atmosphere-ocean models (CAO II). II 600
Models for the coupled atmosphere and ocean 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7387941
求助须知:如何正确求助?哪些是违规求助? 8994426
关于积分的说明 19138212
捐赠科研通 7024605
什么是DOI,文献DOI怎么找? 3228214
关于科研通互助平台的介绍 2390785
邀请新用户注册赠送积分活动 2209310