d‐Electron Asymmetry‐Driven CN Coupling on Heteronuclear Dual‐Atom Catalysts for Sustainable Urea Electrosynthesis

异核分子 催化作用 石墨烯 密度泛函理论 化学 计算化学 材料科学 纳米技术 分子 有机化学
作者
Zaifu Jiang,Jingjing Wang,D.P. Zhang,Panlong Kong,Xiaotao Zhang
出处
期刊:Advanced Science [Wiley]
卷期号:12 (40): e11001-e11001 被引量:8
标识
DOI:10.1002/advs.202511001
摘要

Abstract The transition toward carbon‐neutral chemical manufacturing calls for innovative strategies to produce nitrogen‐based compounds with minimal environmental impact. Urea, a key nitrogen‐rich chemical, is currently synthesized via the energy‐intensive Bosch‐Meiser process, which relies heavily on fossil fuel‐derived ammonia. As a sustainable alternative, electrochemical urea synthesis (ECUS) enables the direct coupling of nitrogenous and carbonaceous precursors under ambient conditions, yet remains hampered by sluggish kinetics and poor selectivity—particularly in the critical C─N bond formation step. Here, density functional theory (DFT) calculations is integrated with data‐driven machine learning to systematically explore the activity landscape of nitrogen‐doped graphene‐supported dual‐metal‐atom catalysts (M′M@NC) for C─N coupling. A comprehensive reaction network is evaluated across 45 M′M@NC configurations, revealing three heteronuclear catalysts—VNi@NC, CoNi@NC and CoCu@NC—with consistently favorable thermodynamic and kinetic performance. Electronic structure analysis indicates that heteronuclear coordination promotes *CO activation and optimizes *NH x adsorption, facilitating C─N coupling. Leveraging symbolic regression via the sure independence screening and sparsifying operator (SISSO) algorithm, interpretable descriptors linking C─N coupling energy to atomic‐level electronic properties is established, highlighting the critical role of d‐electron asymmetry. This results uncover fundamental design principles for dual‐atom catalysts and provide a predictive framework for guiding the development of next‐generation electrocatalysts for sustainable urea synthesis.
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
丘比特应助科研通管家采纳,获得10
刚刚
xyzdmmm完成签到,获得积分10
刚刚
刚刚
大个应助科研通管家采纳,获得10
刚刚
情怀应助科研通管家采纳,获得10
刚刚
汉堡包应助EthanChan采纳,获得10
刚刚
Criminology34应助WEN采纳,获得30
刚刚
正直尔竹完成签到,获得积分10
刚刚
英俊的铭应助科研通管家采纳,获得10
刚刚
锵锵锵应助科研通管家采纳,获得10
刚刚
刚刚
刚刚
爆米花应助科研通管家采纳,获得10
1秒前
fleee发布了新的文献求助10
1秒前
打打应助科研通管家采纳,获得10
1秒前
JamesPei应助科研通管家采纳,获得10
1秒前
脑洞疼应助科研通管家采纳,获得10
1秒前
天天快乐应助科研通管家采纳,获得10
1秒前
1秒前
思源应助科研通管家采纳,获得10
1秒前
JamesPei应助科研通管家采纳,获得10
1秒前
张兴华发布了新的文献求助10
1秒前
小二郎应助kekerenren采纳,获得10
1秒前
在水一方应助科研通管家采纳,获得10
1秒前
搜集达人应助科研通管家采纳,获得10
1秒前
传奇3应助科研通管家采纳,获得10
1秒前
1秒前
guyankuan应助科研通管家采纳,获得10
1秒前
orixero应助不想上学采纳,获得10
1秒前
1秒前
2秒前
传奇3应助科研通管家采纳,获得10
2秒前
SciGPT应助科研通管家采纳,获得10
2秒前
2秒前
2秒前
JIMMY完成签到 ,获得积分10
2秒前
2秒前
冷艳的白晴完成签到,获得积分10
2秒前
牧夜白完成签到,获得积分10
3秒前
皮质醇完成签到,获得积分10
3秒前
高分求助中
GL 2 A method for assessing the in-place cleanability of food processing equipment, Fourth Edition, December 2023 3000
Annie Ernaux: De la perte au corps glorieux 600
Microvascular Surgery in Head and Neck Reconstruction 500
Petrology and Plate Tectonics 500
Writing Systems 500
Media Today Mass Communication in a Converging World 9th Edition 400
Understanding Modeling and Simulation of Polymerization Reactions 400
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6839494
求助须知:如何正确求助?哪些是违规求助? 8548135
关于积分的说明 18187157
捐赠科研通 6187840
什么是DOI,文献DOI怎么找? 3039550
关于科研通互助平台的介绍 2028766
邀请新用户注册赠送积分活动 2017114