Enhancement of On-Current and Reliability in InGaZnO Thin-Film Transistors for Synaptic Circuit Applications through Gate Insulator Stack Engineering

A nanometer-scale multilayer gate insulator (GI) engineering strategy is introduced to simultaneously enhance the on-current and bias stability of amorphous InGaZnO thin-film transistors (a-IGZO TFTs). Atomic layer deposition supercycle modifications employ alternating layers of Al<sub>2</sub>O<sub>3</sub>, TiO<sub>2</sub>, and SiO<sub>2</sub> to optimize the gate-oxide stack. Each GI material is strategically selected for complementary functionalities: Al<sub>2</sub>O<sub>3</sub> improves the interfacial quality at both the GI/semiconductor and GI/metal interfaces, thereby enhancing device stability and performance; TiO<sub>2</sub> increases the overall dielectric constant; and SiO<sub>2</sub> suppresses leakage current by serving as a high-energy barrier between Al<sub>2</sub>O<sub>3</sub> and TiO<sub>2</sub>. Layer ordering, particularly separating SiO<sub>2</sub> and TiO<sub>2</sub> with Al<sub>2</sub>O<sub>3</sub>, is crucial for suppressing charge trapping and defect-state density, as verified by electrical performance comparisons of the fabricated metal-insulator-metal capacitors and thin-film transistors (TFTs). The optimized multilayer GI demonstrates reduced insulator leakage current, roughly a 1.76× increase in on-current relative to a single-layer Al<sub>2</sub>O<sub>3</sub> GI, a 1.47× mobility increase, and enhanced bias stability with a -5 mV threshold-voltage shift under positive bias stress. Beyond device-level improvements, the cycling endurance of the 6-transistor 1-capacitor synaptic circuit is assessed, demonstrating faster operation and enhanced weight-update cycling stability with the engineered GI compared to conventional designs. This optimization addresses the inherent mobility-reliability trade-off in IGZO TFT fabrication, enabling improved performance for very-large-scale integration circuits and neuromorphic applications.

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Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2025-09-05
DOI
https://doi.org/10.1021/acsami.5c13069
Citations
1
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.73

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article

Enhancement of On-Current and Reliability in InGaZnO Thin-Film Transistors for Synaptic Circuit Applications through Gate Insulator Stack Engineering

Ha‐Jun Sung, Minseung Kang, Sang‐Bum Kim, Sang‐Wook Kim et al.
1 citations
ACS Applied Materials & Interfaces
Advanced Memory and Neural Computing
0.73
article

Enhancement of On-Current and Reliability in InGaZnO Thin-Film Transistors for Synaptic Circuit Applications through Gate Insulator Stack Engineering

Ha‐Jun Sung, Minseung Kang, Sang‐Bum Kim, Sang‐Wook Kim, Jeong Hee Han, Jongun Won, Younjin Jang, Narae Han, Youngchae Roh, Jee-Eun Yang
article en
1 citations

Abstract

A nanometer-scale multilayer gate insulator (GI) engineering strategy is introduced to simultaneously enhance the on-current and bias stability of amorphous InGaZnO thin-film transistors (a-IGZO TFTs). Atomic layer deposition supercycle modifications employ alternating layers of Al<sub>2</sub>O<sub>3</sub>, TiO<sub>2</sub>, and SiO<sub>2</sub> to optimize the gate-oxide stack. Each GI material is strategically selected for complementary functionalities: Al<sub>2</sub>O<sub>3</sub> improves the interfacial quality at both the GI/semiconductor and GI/metal interfaces, thereby enhancing device stability and performance; TiO<sub>2</sub> increases the overall dielectric constant; and SiO<sub>2</sub> suppresses leakage current by serving as a high-energy barrier between Al<sub>2</sub>O<sub>3</sub> and TiO<sub>2</sub>. Layer ordering, particularly separating SiO<sub>2</sub> and TiO<sub>2</sub> with Al<sub>2</sub>O<sub>3</sub>, is crucial for suppressing charge trapping and defect-state density, as verified by electrical performance comparisons of the fabricated metal-insulator-metal capacitors and thin-film transistors (TFTs). The optimized multilayer GI demonstrates reduced insulator leakage current, roughly a 1.76× increase in on-current relative to a single-layer Al<sub>2</sub>O<sub>3</sub> GI, a 1.47× mobility increase, and enhanced bias stability with a -5 mV threshold-voltage shift under positive bias stress. Beyond device-level improvements, the cycling endurance of the 6-transistor 1-capacitor synaptic circuit is assessed, demonstrating faster operation and enhanced weight-update cycling stability with the engineered GI compared to conventional designs. This optimization addresses the inherent mobility-reliability trade-off in IGZO TFT fabrication, enabling improved performance for very-large-scale integration circuits and neuromorphic applications.

ACS Applied Materials & InterfacesVol. 17(37)
Seoul National University (KR), Samsung (South Korea) (KR), Seoul Semiconductor (South Korea) (KR)
National Research Foundation of Korea, Institute for Information and Communications Technology Promotion
Openalex Percentile: Top 24%
Advanced Memory and Neural Computing
0.73
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