Surface-potential-based drain current model for two-dimensional organic TFTs using the multiple trapping and release conduction theory

•Surface-potential-based drain current model for two-dimensional confined conduction.•The model using the carrier multiple trapping and release conduction theory.•Description of the Arrhenius temperature characteristics of the drain current.•Estimation of the density of trap states for the organic T...

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Bibliographic Details
Published in:Solid-state electronics Vol. 187; p. 108206
Main Authors: He, Hongyu, Liu, Yuan, Tan, Yuyu, Wang, Xinlin, Lin, Xinnan, Zhang, Shengdong
Format: Journal Article
Language:English
Published: Elsevier Ltd 01.01.2022
Subjects:
Drain current model
Temperature characteristics
Thin-film transistor (TFT)
Trap states
Trap states
Thin-film transistor (TFT)
Temperature characteristics
Drain current model
ISSN:0038-1101, 1879-2405
Online Access:Get full text
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Summary:•Surface-potential-based drain current model for two-dimensional confined conduction.•The model using the carrier multiple trapping and release conduction theory.•Description of the Arrhenius temperature characteristics of the drain current.•Estimation of the density of trap states for the organic TFTs. A new analytical surface-potential-based drain current model is presented for the organic thin-film transistors (TFTs) when carriers are confined in two dimensions. Following the carrier multiple trapping and release (MTR) conduction theory, i.e., the assumption that the trapped carrier concentration is much higher than the free carrier concentration, the model is developed. The presented model can account for the linear regime and saturation regime by a single formulation. The calculated results of the presented model are verified by the available experimental drain current considering the temperature characteristics. Comparing with the previous model using the variable range hopping and percolation (VRH) conduction theory, although the presented model and the previous model are similar in mathematics, the presented model is more efficient to estimate the density of trap states for the organic TFTs.
ISSN:0038-1101
1879-2405
DOI:10.1016/j.sse.2021.108206