Study on density functional theory of MFe2O4 (M=Co, Ni, Cu) for electrocatalytic hydrogen and oxygen evolution reaction

析氧 电催化剂 材料科学 密度泛函理论 分解水 氧气 铂金 化学工程 催化作用 化学物理 电极 物理化学 电化学 化学 计算化学 生物化学 有机化学 光催化 工程类
作者
Guruprasad A. Bhinge,Atul D. Teli,Nilesh N. Kengar,Siddhi S. Dakave,A.K. Bhosale,S.C. Yadav,C.M. Kanamadi
出处
期刊:Surfaces and Interfaces [Elsevier]
卷期号:41: 103249-103249 被引量:2
标识
DOI:10.1016/j.surfin.2023.103249
摘要

The use of noble metals such as platinum (Pt) in electrocatalysts for oxygen and hydrogen evolution reactions has been studied for many years. However, the related electrocatalytic activity must be on par with Pt-based electrodes because of their high cost. Therefore, an attempt is made to find a low-cost alternative material that can show good electrocatalytic performance. In this work, we focused on M-Fe2O4 (M = Co, Ni, and Cu) as a potential electrocatalyst for hydrogen evolution reaction (HER) and oxygen evolution reaction (OER) and theoretically studied it. As per our knowledge, no research regarding the theoretical investigation of an HER and OER electrocatalytic association with M-Fe2O4 is reported. This work is a simulation-based study on density functional theory to examine the combined electrocatalytic activity of M-Fe2O4 for HER and OER. The properties of the HER and OER processes, including the density of states, binding energies, band structure, charge transfer, and minimum-energy path, are studied and discussed. It is discovered that the energy barrier of the HER activity was computed lower in Ni-Fe2O4 is 0.046 eV, and the low computed energy barrier for OER in Co-Fe2O4 of 98 mV, irrespective of how it is set up. As a result, the study makes a detailed prediction that the suggested structure enhances MFe2O4's intrinsic electrocatalytic activity.

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
汤圆发布了新的文献求助10
刚刚
完美世界应助阿拉采纳,获得10
1秒前
二萌发布了新的文献求助10
1秒前
2秒前
2秒前
轨迹应助远_09采纳,获得20
3秒前
科研通AI2S应助无辜的醉波采纳,获得10
3秒前
tejing1158发布了新的文献求助10
4秒前
星鱼发布了新的文献求助20
4秒前
英俊的铭应助家欣采纳,获得10
5秒前
5秒前
Ava应助Lionnn采纳,获得10
6秒前
傲娇而又骄傲完成签到 ,获得积分10
6秒前
科研通AI6.2应助Amanda采纳,获得30
7秒前
小蚊子完成签到,获得积分10
7秒前
8秒前
8秒前
jijijibibibi完成签到,获得积分10
9秒前
kl完成签到,获得积分10
10秒前
10秒前
CodeCraft应助医学小牛马采纳,获得10
11秒前
沐啊完成签到 ,获得积分10
12秒前
12秒前
12秒前
CodeCraft应助汤圆采纳,获得10
12秒前
12秒前
本草石之寒温完成签到 ,获得积分10
13秒前
Lpyyy发布了新的文献求助10
13秒前
14秒前
Shin完成签到,获得积分20
16秒前
16秒前
17秒前
勤恳浩然发布了新的文献求助30
18秒前
18秒前
安静诗柳完成签到,获得积分10
19秒前
后巷的知识份子完成签到,获得积分10
19秒前
21秒前
自信以冬发布了新的文献求助10
22秒前
刘十三发布了新的文献求助10
22秒前
22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
Kinesiophobia : a new view of chronic pain behavior 2000
Research for Social Workers 1000
Mastering New Drug Applications: A Step-by-Step Guide (Mastering the FDA Approval Process Book 1) 800
The Social Psychology of Citizenship 600
Signals, Systems, and Signal Processing 510
Discrete-Time Signals and Systems 510
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5912187
求助须知:如何正确求助?哪些是违规求助? 6831436
关于积分的说明 15785215
捐赠科研通 5037204
什么是DOI,文献DOI怎么找? 2711599
邀请新用户注册赠送积分活动 1661950
关于科研通互助平台的介绍 1603905