Formic Acid Synthesis by CO2 Hydrogenation over Single‐Atom Catalysts Based on Ru and Cu Embedded in Graphene

甲酸 石墨烯 催化作用 Atom(片上系统) 吸附 密度泛函理论 活化能 材料科学 金属 过渡金属 光化学 物理化学 化学 无机化学 纳米技术 计算化学 有机化学 计算机科学 嵌入式系统
作者
Dušan Sredojević,Željko Šljivančanin,Edward N. Brothers,Milivoj R. Belić
出处
期刊:ChemistrySelect [Wiley]
卷期号:3 (9): 2631-2637 被引量:35
标识
DOI:10.1002/slct.201702836
摘要

Abstract At variance with conventional heterogeneous catalysts, where only a small number of transition or noble metal atoms at surfaces play the role of active sites, in the single‐atom catalysts (SAC) each metal atom is involved in the catalytic process. Starting from isolated Ru and Cu atoms embedded on defects in graphene, denoted as Ru‐dG and Cu‐dG, we apply density functional theory (DFT) to examine utilizing these structures to catalyze the conversion of CO 2 into the formic acid (FA). Our atomistic modeling of this reaction, highly relevant for reducing the CO 2 level in the atmosphere, includes three different reaction pathways. The first relies on a direct hydrogenation of CO 2 with protons from the H 2 molecule. Due to energy barriers higher than 35 kcal/mol on both Ru‐dG and Cu‐dG, this reaction path does not represent a favorable route for FA synthesis. The other two reaction mechanisms start with the dissociative adsorption of H 2 and then proceed via completely different paths. At Ru‐dG the CO 2 hydrogenation occurs with the H atoms from the dissociated H 2 , while the Cu‐dG favors the proton transfer from an additional H 2 , coadsorbed with CO 2 on hydrogenated SAC. Since we find that these pathways were accompanied with the activation energies smaller than 20 kcal/mol, our DFT study indicates that the Ru adatoms embedded into the defected graphene are promising candidates for designing a SAC enabling an efficient conversion of CO 2 to FA. Since adsorbed H species markedly decrease Cu binding at the vacancy sites, the Cu‐dG is considerably less robust catalyst than Ru‐dG.
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
欢喜的小海豚完成签到,获得积分10
刚刚
雪蛤发布了新的文献求助10
刚刚
1秒前
Orange应助cl采纳,获得10
1秒前
丘比特应助地平线采纳,获得10
2秒前
2秒前
华仔应助YXF采纳,获得10
3秒前
魏志航完成签到,获得积分20
3秒前
红岸发布了新的文献求助10
5秒前
xzw完成签到,获得积分10
5秒前
科目三应助moon123采纳,获得10
6秒前
科目三应助雪蛤采纳,获得10
7秒前
吴彦祖发布了新的文献求助10
7秒前
852应助YFW采纳,获得10
9秒前
10秒前
yookia应助科研通管家采纳,获得10
10秒前
爆米花应助科研通管家采纳,获得10
10秒前
无私的芹应助科研通管家采纳,获得10
11秒前
无私的芹应助科研通管家采纳,获得10
11秒前
华仔应助科研通管家采纳,获得10
11秒前
李健应助科研通管家采纳,获得10
11秒前
无私的芹应助科研通管家采纳,获得10
11秒前
领导范儿应助科研通管家采纳,获得10
11秒前
Jasper应助科研通管家采纳,获得10
11秒前
yznfly应助科研通管家采纳,获得30
11秒前
无私的芹应助科研通管家采纳,获得10
11秒前
无私的芹应助科研通管家采纳,获得10
11秒前
完美世界应助科研通管家采纳,获得10
11秒前
无情向薇应助科研通管家采纳,获得10
11秒前
科研通AI2S应助科研通管家采纳,获得10
11秒前
柯一一应助科研通管家采纳,获得10
11秒前
无私的芹应助科研通管家采纳,获得10
11秒前
完美世界应助科研通管家采纳,获得10
12秒前
SYLH应助科研通管家采纳,获得10
12秒前
英姑应助温酒随行采纳,获得30
12秒前
星辰大海应助科研通管家采纳,获得10
12秒前
领导范儿应助科研通管家采纳,获得50
12秒前
12秒前
共享精神应助科研通管家采纳,获得10
12秒前
思源应助科研通管家采纳,获得10
12秒前
高分求助中
The Mother of All Tableaux Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 2400
Ophthalmic Equipment Market by Devices(surgical: vitreorentinal,IOLs,OVDs,contact lens,RGP lens,backflush,diagnostic&monitoring:OCT,actorefractor,keratometer,tonometer,ophthalmoscpe,OVD), End User,Buying Criteria-Global Forecast to2029 2000
A new approach to the extrapolation of accelerated life test data 1000
Cognitive Neuroscience: The Biology of the Mind 1000
Cognitive Neuroscience: The Biology of the Mind (Sixth Edition) 1000
Optimal Transport: A Comprehensive Introduction to Modeling, Analysis, Simulation, Applications 800
Official Methods of Analysis of AOAC INTERNATIONAL 600
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 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3959533
求助须知:如何正确求助?哪些是违规求助? 3505776
关于积分的说明 11126048
捐赠科研通 3237690
什么是DOI,文献DOI怎么找? 1789252
邀请新用户注册赠送积分活动 871623
科研通“疑难数据库(出版商)”最低求助积分说明 802916