4.8 Article

The Overlapped Electron-Cloud Model for Electron Transfer in Contact Electrification

期刊

ADVANCED FUNCTIONAL MATERIALS
卷 30, 期 11, 页码 -

出版社

WILEY-V C H VERLAG GMBH
DOI: 10.1002/adfm.201909724

关键词

contact electrification; electric field; electron transfer; tapping mode atomic force microscopy; tunneling effect

资金

  1. National Key R & D Project from Minister of Science and Technology [2016YFA0202704]
  2. National Natural Science Foundation of China [51605033, 51432005, 5151101243, 51561145021]
  3. Beijing Municipal Science & Technology Commission [Z171100000317001, Z171100002017017, Y3993113DF]

向作者/读者索取更多资源

Contact electrification (CE) is one of the oldest topics in physics, which has been discussed for more than 2600 years. Recently, an overlapped electron-cloud (OEC) model was proposed by Wang to explain all types of CE phenomena for general materials in which a deep overlapping of electron clouds belonging to two atoms results in a lowered potential barrier for electron transfer from one to the other by applying a compressive force, which is simply referred to as Wang transition for CE. Here, the degree of electron-cloud overlap between two atoms is controlled by using tapping mode atomic force microscopy. A temperature difference and electric field are applied between atoms of two surfaces. It is found that electron transfer only occurs when the contact tip and sample interact in the repulsive-force region, which corresponds to a strong overlap of the electron clouds. Such a fact even preserves if the tip is at a higher temperature than the sample for 120 K. Alternatively, by applying a bias, electron tunneling would occur when the tip is in the attractive-force region within which normal electron transfer would not occur. These studies solidify the overlapped electron-cloud model first proposed by Wang. Further, the temperature and bias effects on the CE are explained based on a modified OEC model.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据