Metal–water interface formation: Thermodynamics from ab initio molecular dynamics simulations

分子动力学 热力学 金属 从头算 材料科学 化学 动力学(音乐) 计算化学 物理化学 物理 有机化学 声学
作者
Fabiola Domínguez-Flores,Toni Kiljunen,Axel Groß,Sung Sakong,Marko Melander
出处
期刊:Journal of Chemical Physics [American Institute of Physics]
卷期号:161 (4) 被引量:12
标识
DOI:10.1063/5.0220576
摘要

Metal–water interfaces are central to many electrochemical, (electro)catalytic, and materials science processes and systems. However, our current understanding of their thermodynamic properties is limited by the scarcity of accurate experimental and computational data and procedures. In this work, thermodynamic quantities for metal–water interface formation are computed for a range of FCC(111) surfaces (Pd, Pt, Au, Ag, Rh, and PdAu) through extensive density functional theory based molecular dynamics and the two-phase entropy model. We show that metal–water interface formation is thermodynamically favorable and that most metal surfaces studied in this work are completely wettable, i.e., have contact angles of zero. Interfacial water has higher entropy than bulk water due to the increased population of low-frequency translational modes. The entropic contributions also correlate with the orientational water density, and the highest solvation entropies are observed for interfaces with a moderately ordered first water layer; the entropic contributions account for up to ∼25% of the formation free energy. Water adsorption energy correlates with the water orientation and structure and is found to be a good descriptor of the internal energy part of the interface formation free energy, but it alone cannot satisfactorily explain the interfacial thermodynamics; the interface formation is driven by the competition between energetic and entropic contributions. The obtained results and insight can be used to develop, parameterize, and benchmark theoretical and computational methods for studying metal–water interfaces. Overall, our study yields benchmark-quality data and fundamental insight into the thermodynamic forces driving metal–water interface formation.
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
kin发布了新的文献求助30
1秒前
1秒前
英吉利25发布了新的文献求助10
1秒前
思源应助Cpp采纳,获得10
2秒前
科研通AI2S应助快乐访风采纳,获得10
4秒前
Hmz完成签到,获得积分20
4秒前
5秒前
Ava应助细心妙竹采纳,获得10
5秒前
酷波er应助阳炎采纳,获得10
8秒前
李李完成签到,获得积分10
9秒前
王涛发布了新的文献求助10
9秒前
10秒前
10秒前
asdf2333发布了新的文献求助30
10秒前
爱吃苹果的饼完成签到 ,获得积分10
11秒前
蛎卡奔完成签到,获得积分10
12秒前
代祺完成签到,获得积分10
13秒前
14秒前
坚定的非笑完成签到,获得积分20
14秒前
梁育冠发布了新的文献求助10
14秒前
爱大美完成签到,获得积分10
15秒前
Owen应助科研通管家采纳,获得30
15秒前
情怀应助笑点低的颤采纳,获得10
15秒前
搜集达人应助科研通管家采纳,获得50
15秒前
Davin完成签到,获得积分10
15秒前
16秒前
无花果应助科研通管家采纳,获得10
16秒前
16秒前
隐形曼青应助科研通管家采纳,获得10
16秒前
16秒前
FashionBoy应助科研通管家采纳,获得10
16秒前
蛎卡奔发布了新的文献求助30
16秒前
16秒前
打打应助科研通管家采纳,获得10
17秒前
CipherSage应助科研通管家采纳,获得10
17秒前
aajhajkahna应助科研通管家采纳,获得10
17秒前
Alan发布了新的文献求助10
17秒前
17秒前
17秒前
17秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
Pediatric Dermoscopy Trichoscopy & Onychoscopy 1000
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 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Clinical effects of budesonide oxygen driving atomization on patients with chronic obstructive pulmonary disease at acute exacerbation phase 500
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 7569495
求助须知:如何正确求助?哪些是违规求助? 9149481
关于积分的说明 19567337
捐赠科研通 7155172
什么是DOI,文献DOI怎么找? 3263353
关于科研通互助平台的介绍 2429152
邀请新用户注册赠送积分活动 2253651