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Exploring Spatial Distribution of Intrinsic Oxide Trap by Decoupling Channel Thickness Effects in Amorphous IGZO TFTs
Donghyeon Lee1, Jaewook Yoo1, Hongseung Lee1
1Division of Electronic Engineering, Jeonbuk National University, Deokjin-gu, Jeonju 54896, Republic of Korea.
ACS Applied Materials & Interfaces
|June 11, 2026
Summary
This study introduces a new method combining low-frequency noise and optical excitation to accurately measure oxide trap density in amorphous indium-gallium-zinc-oxide thin-film transistors. The approach corrects for overestimations caused by bulk defects, improving device optimization.
Area of Science:
- Materials Science
- Semiconductor Physics
- Device Engineering
Background:
- Amorphous Indium-Gallium-Zinc-Oxide (IGZO) thin-film transistors (TFTs) are crucial for modern electronics.
- Scaling down channel thickness in IGZO TFTs leads to increased 1/f noise and subgap density of states (DOS).
- Conventional low-frequency noise (LFN) analysis can overestimate oxide trap density (N_ot) due to bulk defect contributions.
Purpose of the Study:
- To develop an integrated approach for accurately extracting intrinsic oxide trap density (N_ot,int) in IGZO TFTs.
- To address the overestimation of N_ot caused by bulk defect-induced noise in scaled devices.
- To provide a quantitative framework for understanding the spatial distribution of oxide traps.
Main Methods:
- Combining low-frequency noise (LFN) measurements with sub-bandgap optical excitation (450 nm).
- Introducing a compensated volume factor (V_f) to suppress bulk trap contributions.
- Analyzing carrier trapping and detrapping effects within the Debye screening length (L_D).
Main Results:
- A pronounced increase in 1/f noise and DOS was observed as channel thickness decreased from 30 to 3 nm.
- The proposed method corrected N_ot values, reducing overestimations from 2.1 × 10^19 to 1.4 × 10^19 eV⁻¹ cm⁻³ (30 nm), 1.2 × 10^20 to 1.3 × 10^19 eV⁻¹ cm⁻³ (10 nm), and 3.1 × 10^20 to 1.3 × 10^19 eV⁻¹ cm⁻³ (3 nm).
- Extracted trap distribution was found within 1.4-1.9 nm from the interface, separating bulk and interface effects.
Conclusions:
- The methodology accurately separates interface trapping from bulk noise contributions in IGZO TFTs.
- This approach provides a quantitative framework for optimizing gate stacks and interfaces in scaled devices.
- The method is extendable to other oxide semiconductor systems for enhanced performance and reliability.

