Single-Atom Rhodium on Defective g-C3N4: A Promising Bifunctional Oxygen Electrocatalyst

双功能 电催化剂 电负性 析氧 催化作用 密度泛函理论 氧气 Atom(片上系统) 化学 物理化学 计算化学 电化学 计算机科学 有机化学 电极 嵌入式系统
作者
Huan Niu,Xuhao Wan,Xiting Wang,Chen Shao,John Robertson,Zhaofu Zhang,Yuzheng Guo
出处
期刊:ACS Sustainable Chemistry & Engineering [American Chemical Society]
卷期号:9 (9): 3590-3599 被引量:184
标识
DOI:10.1021/acssuschemeng.0c09192
摘要

It is highly desirable to design bifunctional electrocatalysts to realize highly efficient oxygen evolution/reduction reaction (OER/ORR). Herein, density functional theory (DFT) calculations were conducted to validate the feasibility of a single transition metal (TM) embedded in defective g-C3N4 for bifunctional oxygen electrocatalysis. It was clarified that the TM atom supported on defective g-C3N4 with N vacancy (TM/VN-CN) was stable and possible to be synthesized. Remarkably, Rh/VN-CN exhibited low overpotentials of 0.32 and 0.43 V for OER and ORR, respectively, and was considered as the promising bifunctional catalyst. The volcano plots and contour maps were established based on the scaling relation of adsorption energies of *OH, *O, and *OOH. The OER/ORR activity origin was revealed by descriptors of the d-band center and the number of d-orbital electrons multiplied electronegativity of TM. Furthermore, the machine learning (ML) algorithm was utilized to analyze the intrinsic correlation between catalytic activity and a series of structural and atomic features. Our combined DFT and ML work not only opts for the promising bifunctional oxygen electrocatalysts but also provides guidance for the design of single-atom catalysts and the discovery of more efficient 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
科研通AI5应助xinxin采纳,获得10
刚刚
科研通AI5应助xinxin采纳,获得10
刚刚
1秒前
王不王发布了新的文献求助10
1秒前
盛清让发布了新的文献求助10
1秒前
甜美的芷完成签到,获得积分10
1秒前
2秒前
2秒前
漂亮飞凤完成签到,获得积分10
3秒前
3秒前
3秒前
3秒前
自觉以冬发布了新的文献求助10
4秒前
可爱的函函应助Wendy采纳,获得10
4秒前
淡定成风完成签到,获得积分10
4秒前
风趣觅荷完成签到 ,获得积分10
4秒前
mg完成签到,获得积分10
4秒前
甜美的芷发布了新的文献求助10
5秒前
季不住完成签到,获得积分10
5秒前
6秒前
lvvvvvv完成签到,获得积分10
6秒前
斯文败类应助BW打工仔采纳,获得10
6秒前
7秒前
xxiaobai发布了新的文献求助10
7秒前
xiangfan完成签到,获得积分10
7秒前
铀氪锂锂完成签到,获得积分20
7秒前
Nolan完成签到,获得积分10
7秒前
8秒前
东方三问发布了新的文献求助10
8秒前
8秒前
8秒前
悦耳芹菜发布了新的文献求助10
9秒前
10秒前
耽书是宿缘完成签到,获得积分20
11秒前
结实智宸完成签到,获得积分10
11秒前
FF发布了新的文献求助10
11秒前
沉静盼易发布了新的文献求助10
11秒前
12秒前
呐呐呐完成签到 ,获得积分10
12秒前
卡卡西西发布了新的文献求助150
12秒前
高分求助中
Les Mantodea de Guyane Insecta, Polyneoptera 2500
Technologies supporting mass customization of apparel: A pilot project 450
China—Art—Modernity: A Critical Introduction to Chinese Visual Expression from the Beginning of the Twentieth Century to the Present Day 430
A Field Guide to the Amphibians and Reptiles of Madagascar - Frank Glaw and Miguel Vences - 3rd Edition 400
China Gadabouts: New Frontiers of Humanitarian Nursing, 1941–51 400
The Healthy Socialist Life in Maoist China, 1949–1980 400
Walking a Tightrope: Memories of Wu Jieping, Personal Physician to China's Leaders 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 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3790087
求助须知:如何正确求助?哪些是违规求助? 3334781
关于积分的说明 10272224
捐赠科研通 3051278
什么是DOI,文献DOI怎么找? 1674537
邀请新用户注册赠送积分活动 802651
科研通“疑难数据库(出版商)”最低求助积分说明 760828