Analytical Modeling of Short-Channel Effects in BEOL-Compatible Thin-Film Transistors

This article presents a 2-D analytical model for the potential and current characteristics of thin-film transistors (TFTs) using Green’s function approach. The model accurately incorporates the effects of nonuniform trap charge distribution in the channel and includes both top and bottom gate oxide regions with different thicknesses. Solving 2-D Poisson’s equation, we derive closed-form 2-D expressions for the potential profile in the channel. While the model applies to any thin-film technologies such as indium oxide (In2O3), indium gallium zinc oxide (IGZO), graphene, carbon nanotubes (CNTs), etc., in this work, the model is validated using experimental data and TCAD Sentaurus simulations for In2O3 TFTs. Key results include analysis of short-channel effects (SCEs), gate oxide scaling, and channel thickness variations on device performance. The model successfully predicts subthreshold characteristics and drain-induced barrier-lowering (DIBL) while identifying the limitations in the <sc xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">on</small> current region due to the absence of various scattering phenomena, such as surface scattering in the analytical formulation. An improved mobility model, accounting for field dependence, enhances the accuracy in the <sc xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">on</small> region, ensuring agreement with experimental and TCAD data across various bias conditions.

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Publication Details

Journal
IEEE Transactions on Electron Devices
Published
2025-03-07
DOI
https://doi.org/10.1109/ted.2025.3546593
Citations
4
Primary Topic
Semiconductor materials and devices
Type
article
Field-Weighted Citation Impact
2.92
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article

Analytical Modeling of Short-Channel Effects in BEOL-Compatible Thin-Film Transistors

Chang Niu, Orlando Lazaro, Ujwal Radhakrishna, Gianluca Boselli et al.
4 citations
IEEE Transactions on Electron Devices
Semiconductor materials and devices
2.92
article

Analytical Modeling of Short-Channel Effects in BEOL-Compatible Thin-Film Transistors

Chang Niu, Orlando Lazaro, Ujwal Radhakrishna, Gianluca Boselli, Jian-Yu Lin, Peide D. Ye, Leonard F. Register, Nilesh Pandey, Luigi Colombo, Sanjay K. Banerjee, Baher Haroun
article en
4 citations

Abstract

This article presents a 2-D analytical model for the potential and current characteristics of thin-film transistors (TFTs) using Green’s function approach. The model accurately incorporates the effects of nonuniform trap charge distribution in the channel and includes both top and bottom gate oxide regions with different thicknesses. Solving 2-D Poisson’s equation, we derive closed-form 2-D expressions for the potential profile in the channel. While the model applies to any thin-film technologies such as indium oxide (In2O3), indium gallium zinc oxide (IGZO), graphene, carbon nanotubes (CNTs), etc., in this work, the model is validated using experimental data and TCAD Sentaurus simulations for In2O3 TFTs. Key results include analysis of short-channel effects (SCEs), gate oxide scaling, and channel thickness variations on device performance. The model successfully predicts subthreshold characteristics and drain-induced barrier-lowering (DIBL) while identifying the limitations in the <sc xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">on</small> current region due to the absence of various scattering phenomena, such as surface scattering in the analytical formulation. An improved mobility model, accounting for field dependence, enhances the accuracy in the <sc xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">on</small> region, ensuring agreement with experimental and TCAD data across various bias conditions.

IEEE Transactions on Electron DevicesVol. 72(5)
Purdue University West Lafayette (US), Texas Instruments (United States) (US), The University of Texas at Austin (US)
Affordable and clean energy
Openalex Percentile: Top 10%
Semiconductor materials and devices
2.92
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