Mitigating hydrogen-related instabilities in oxide thin-film transistor via nitrogen-engineered passivation layer for thermal stability

In conventional dynamic random-access memory (DRAM) processes, hydrogen-rich SiH 4 -based dielectrics such as SiO 2 , SiN X , or SiCOH are widely used for defect passivation and performance enhancement in silicon-based cell transistors. However, when applied to amorphous indium-gallium-zinc oxide (a-IGZO) channel, hydrogen induces anomalous, non-monotonic V th shifts and degrades reliability by weakening the channel’s bonding structure. Here, a novel technique is reported using the SiON and nitrogen dioxide plasma treatment layer (SNL) for the passivation layer. The SNL technique reduces hydrogen incorporation in the passivation layer and impedes hydrogen diffusion pathways through nitrogen doping within the channel layer simultaneously. As a result, compared to conventional thin-film transistors (TFTs), the SNL TFTs exhibited significantly improved breakdown voltages (from 90 to 177 V), reduced threshold voltage shifts under positive/negative bias temperature and illumination stress (PBTS/NBTiS) conditions (from −177 to −18 mV, and from −9.36 to −4.64 V) for 11 h. They markedly suppressed transient current deviation during transient current stress (TCS) measurements—from 1.42 % to 0.23 % after high-current stress and from 1.27 % to 0.10 % after low-current stress—indicating reduced hydrogen-related shallow trapping. Furthermore, the SNL structure effectively suppresses hydrogen-induced channel edge encroachment (ΔL) due to thermal stress, limiting the increase to only 0.11 μm (i.e., from 1.81 μm to 1.92 μm).

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Publication Details

Journal
Applied Surface Science Advances
Published
2025-09-01
DOI
https://doi.org/10.1016/j.apsadv.2025.100839
Citations
2
Primary Topic
Thin-Film Transistor Technologies
Type
article
Field-Weighted Citation Impact
1.46
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article

Mitigating hydrogen-related instabilities in oxide thin-film transistor via nitrogen-engineered passivation layer for thermal stability

Jong Bin An, Hyun Jae Kim, I. Sak Lee, Kyungmoon Kwak et al.
2 citations
Applied Surface Science Advances
Thin-Film Transistor Technologies
1.46
article

Mitigating hydrogen-related instabilities in oxide thin-film transistor via nitrogen-engineered passivation layer for thermal stability

Jong Bin An, Hyun Jae Kim, I. Sak Lee, Kyungmoon Kwak, Jae Won Na
article en
2 citations

Abstract

In conventional dynamic random-access memory (DRAM) processes, hydrogen-rich SiH 4 -based dielectrics such as SiO 2 , SiN X , or SiCOH are widely used for defect passivation and performance enhancement in silicon-based cell transistors. However, when applied to amorphous indium-gallium-zinc oxide (a-IGZO) channel, hydrogen induces anomalous, non-monotonic V th shifts and degrades reliability by weakening the channel’s bonding structure. Here, a novel technique is reported using the SiON and nitrogen dioxide plasma treatment layer (SNL) for the passivation layer. The SNL technique reduces hydrogen incorporation in the passivation layer and impedes hydrogen diffusion pathways through nitrogen doping within the channel layer simultaneously. As a result, compared to conventional thin-film transistors (TFTs), the SNL TFTs exhibited significantly improved breakdown voltages (from 90 to 177 V), reduced threshold voltage shifts under positive/negative bias temperature and illumination stress (PBTS/NBTiS) conditions (from −177 to −18 mV, and from −9.36 to −4.64 V) for 11 h. They markedly suppressed transient current deviation during transient current stress (TCS) measurements—from 1.42 % to 0.23 % after high-current stress and from 1.27 % to 0.10 % after low-current stress—indicating reduced hydrogen-related shallow trapping. Furthermore, the SNL structure effectively suppresses hydrogen-induced channel edge encroachment (ΔL) due to thermal stress, limiting the increase to only 0.11 μm (i.e., from 1.81 μm to 1.92 μm).

Applied Surface Science AdvancesVol. 29
Electronics and Telecommunications Research Institute (KR), Yonsei University (KR)
Openalex Percentile: Top 15%
Thin-Film Transistor Technologies
1.46
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