海归学者发起的公益学术平台
分享信息，整合资源

交流学术，偶尔风月
金属离子在欠电位条件下沉积到惰性金属材料表面，形成一层可用来催化或传感的纳米膜层。但这个方法所沉积的金属层不稳定，容易被周围的液体所溶解。采用量子力学模拟以找到最佳沉积方法的努力，因不能克服计算的不稳定性，而效果不佳。对此，来自美国宾州大学的Stephen Weitzner和Ismaila Dabo研发了一种新的模拟方法：用量子-连续体模型解释溶剂效应，用蒙特卡洛模拟阐述金-水界面的带电状况对沉积的影响。这样可以估计欠电位沉积时，铜离子在金表面的稳定性。他们的计算结果显示，要精确模拟欠电位的沉积，必须考虑界面电荷和共吸附离子等因素的影响。
论文近日发表于npj Computational Materials，文末“阅读原文”可以自由下载论文PDF。其标题与摘要如下：

Quantum–continuum simulation of underpotential deposition at electrified metal–solution interfaces

Stephen E.Weitzner & Ismaila Dabo
The underpotential deposition of transition metal ions is a critical step in many electrosynthetic approaches. While underpotential deposition has been intensively studied at the atomic level, first-principles calculations in vacuum can strongly underestimate the stability of underpotentially deposited metals. It has been shown recently that the consideration of coadsorbed anions can deliver more reliable descriptions of underpotential deposition reactions; however, the influence of additional key environmental factors such as the electrification of the interface under applied voltage and the activities of the ions insolution have yet to be investigated. In this work, copper underpotential deposition on gold is studied under realistic electrochemical conditions using aquantum–continuum model of the electrochemical interface. We report here on the influence of surface electrification,concentration effects, and anion coadsorption on the stability of the copper underpotential deposition layer on the gold (100) surface. 
打开原文链接：
http://www.nature.com/articles/s41524-016-0004-9
或 点击文末“阅读原文”可以自由下载论文PDF。
扩展阅读
机器学习增强X射线视野，加速材料基因设计
npj Computational Materials两名编委获学术殊荣
世界上只有孩子和傻瓜不会撒谎
新的体系下，科研人员终于不用写基金本子了！
欢迎广大学者供稿，报道最新研究成果
投稿、授权、合作事宜请联系
[email protected] 或微信ID: scholarset
回复“目录”或“分类”，浏览知社更多精华。长按二维码识别，可以关注/进入公众号进行回复。
继续阅读
阅读原文