A new approach to transfer characteristic slope estimation

Vishash Verma, Drona Dahal, Raj Kishen Radha Krishnan, B. Lüssem, Tsung-Heng Tsai
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引用次数: 1

Abstract

Organic field-effect transistors (OFETs) have found a wide range of uses due to their attractive properties. A great deal of effort has been expended on boosting their mobilities, which tend to be low. Given this, accurate estimation of the mobility is crucial. We have developed a web application that automates or simplifies several of the steps required to estimate the mobility from experimental data. The app can be accessed at ofetanalysisapp.shinyapps.io/ofetanalysisapp. The app takes as inputs a file with the data and pieces of information like the number of OFETs and their channel lengths. The app has features that enable the user to mark OFETs as outliers, which are excluded from subsequent calculations. It fits nonlinear regression models to compute estimates of the mobility as well as the threshold voltage. The app provides several visualizations that give the user insight into the nature of the data. The estimates computed by the app can be downloaded in an Excel file so the user can perform further analysis. The use of the app is illustrated with a dataset from one of our OFET experiments.
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一种新的传递特征斜率估计方法
有机场效应晶体管(ofet)由于其诱人的特性而得到了广泛的应用。在提高他们的流动性方面已经花费了大量的努力,而他们的流动性往往很低。鉴于此,对流动性的准确估计是至关重要的。我们已经开发了一个web应用程序,它可以自动化或简化从实验数据中估计移动性所需的几个步骤。该应用程序可以访问ofetanalysisapp.shinyapps.io/ofetanalysisapp。该应用程序输入一个文件,其中包含数据和信息片段,如ofet的数量及其通道长度。该应用程序具有使用户能够将ofet标记为异常值的功能,这些异常值将被排除在后续计算之外。它拟合非线性回归模型来计算迁移率和阈值电压的估计。该应用程序提供了几个可视化,让用户深入了解数据的性质。应用程序计算出的估计值可以下载到Excel文件中,以便用户进行进一步分析。该应用程序的使用用我们的一个OFET实验的数据集来说明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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