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Statistical Analysis of Field-Emission Currents
Physical Review Applied ( IF 3.8 ) Pub Date : 2021-08-04 , DOI: 10.1103/physrevapplied.16.024007
Sagy Lachmann 1 , Marek Jacewicz 2 , Iaroslava Profatilova 3 , Jan Paszkiewicz 3 , Walter Wuensch 3 , Yinon Ashkenazy 1
Affiliation  

The current due to cold tunneling of electrons from a metallic surface exposed to high electric fields, regularly named “dark current,” is commonly described in modern literature using an analytical approximate solution provided by Murphy and Good [Phys. Rev. 102, 1464 (1956)]. This expression, which corrects earlier work by Fowler and Nordheim, is a Fowler-Nordheim-type equation: IE2exp(a/E), where I is the dark current, E is the local electric field, and a is a system-specific constant. In this paper, a numerical approximation, rather than the analytical one given by Murphy and Good, is presented. This approximation is accurate over a wide range of fields, and is used to derive the effective field enhancement factor β. On the basis of this approximation, and considering local field and current fluctuations, two alternative methods for β estimation are presented. These methods allow instantaneous field-specific estimation of β, rather than the average estimate derived with current methods. The applicability of fluctuation-based methods is demonstrated by numerical simulation in a variety of conditions. The methods are applied to estimate β using fluctuation analysis in experimental measurements that were not dedicated for this purpose. An open-source code for the implementation of fluctuation-derived β estimation is provided, with an analysis of possible future experimental opportunities using dedicated experiments.

中文翻译:

场发射电流的统计分析

现代文献中通常使用 Murphy 和 Good [Phys. 修订版 102, 1464 (1956)]。这个表达式纠正了 Fowler 和 Nordheim 早期的工作,是一个 Fowler-Nordheim 类型的方程:一世2经验值(-一种/), 在哪里 一世 是暗电流, 是局部电场,并且 一种是系统特定的常数。在本文中,提出了一种数值近似,而不是 Murphy 和 Good 给出的解析近似。这种近似在很宽的场范围内都是准确的,并用于推导出有效场增强因子β. 在这种近似的基础上,并考虑到局部场和电流波动,两种替代方法β提出了估计。这些方法允许瞬时场特定估计β,而不是使用当前方法得出的平均估计值。在各种条件下的数值模拟证明了基于波动的方法的适用性。该方法用于估计β在并非专门用于此目的的实验测量中使用波动分析。一个实现波动导出的开源代码β 提供了估算,并使用专用实验分析了未来可能的实验机会。
更新日期:2021-08-04
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