论文标题
现场发射电流电压数据的解释:背景理论和用户友好的WebTool的详细模拟测试
Interpretation of field emission current-voltage data: background theory and detailed simulation testing of a user-friendly webtool
论文作者
论文摘要
在现场电子发射(FE)研究中,要解释电流 - 电压数据并提取表征参数,我们使用平滑的平面金属样发射器(SPME)方法和数据分析图。存在三种类型:Millikan-Lauritsen(ML),Fowler-Nordheim(FN)和Murphy-Good(MG)图。在SPME方法论中,ML和FN图略有弯曲,但MG图几乎是笔直的。 1956毫克FE理论比1928 FN理论更好,因此我们希望MG图比ML或FN图更精确。电流 - 电压数据通常会转换:测得的电压为(明显)宏观场,电流到宏观电流密度。因此,存在四种不同的数据输入表单。广泛假定系统行为的过度简化模型。通常会忽略简单使用数据分析图是有效的解释方法。已发表的FE研究似乎包含“现场增强因子”的伪造值的高发生率。 2013年描述的程序(“正统测试”)允许检查有效性检查:大约40%的少量结果样本较高。为了帮助数据解释和有效性检查,首席作者设计了一个简单的用户友好网络工具。作为输入,此需要使用四种数据输入表单中的任何一个中的任何一个。然后,WebTool应用正统测试,如果通过了 - 提取特征参数。这项研究报告:(1)使用使用扩展MG FE理论制备的模拟输入数据进行网络工具功能的系统测试; (2)三种不同数据绘图类型的系统比较,以检查提取的参数值与模拟输入值匹配的程度。给出了相关理论的摘要回顾。对于形式排放区域,MG图的性能优于FN和ML图。这对于铁科学很重要。
In field electron emission (FE) studies, to interpret current-voltage data and extract characterization parameters, we use smooth planar metal-like emitter (SPME) methodology and a data-analysis plot. Three types exist: Millikan-Lauritsen (ML), Fowler-Nordheim (FN) and Murphy-Good (MG) plots. In SPME methodology, ML and FN plots are slightly curved but a MG plot is nearly straight. 1956 MG FE theory is better physics than 1928 FN theory, so we expect MG plots to be more precise than ML or FN plots. Current-voltage data are often converted: measured voltage to (apparent) macroscopic field, current to macroscopic current density. Thus, four different data-input forms exist. Over-simplified models of system behaviour are widely assumed. Whether simple use of a data-analysis plot is a valid interpretation method is often neglected. Published FE studies seem to contain a high incidence of spurious values for "field enhancement factor". A procedure (the "Orthodoxy Test") described in 2013 allows a validity check: around 40 % of a small sample of results were spuriously high. To assist data interpretation and validity checks, a simple user-friendly webtool has been designed by the lead author. As inputs, this needs system specification data and "range-limits" data from any of the three plot forms, using any of the four data-input forms. The webtool then applies the Orthodoxy Test, and -- if passed -- extracts characterization parameters. This study reports: (1) systematic tests of webtool functionality, using simulated input data prepared using Extended MG FE theory; and (2) systematic comparisons of the three different data-plot types, to check how well extracted parameter values match simulation input values. A summary review of relevant theory is given. For formal emission areas, the MG plot performs better than FN and ML plots. This is important for FE science.