Prof. Tsung-Heng Tsai Profile

Prof. Tsung-Heng Tsai

at Kent State Univ

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Proceedings Article | 1 August 2021 Presentation + Paper

A new approach to transfer characteristic slope estimation

Vishash Verma, Drona Dahal, Raj Kishen Radha Krishnan, Björn Lüssem, Tsung-Heng Tsai

Proceedings Volume 11811, 118110B (2021) https://doi.org/10.1117/12.2593301

KEYWORDS: Field effect transistors, Data processing, Transistors, Data analysis, Visualization, Statistical analysis

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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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