ALD-Driven Ultrathin IGZO Neuromorphic Transistors with Defect-Engineered 1/ <i>f</i> Noise for Stable Multimodal Information Encryption

Ultrathin neuromorphic transistors with sub-10 nm indium-gallium-zinc oxide (IGZO) channels and 20 nm Al<sub>2</sub>O<sub>3</sub> gate dielectrics have been fabricated via low-temperature (250 °C) atomic layer deposition (ALD), achieving conformal interfaces critical for reliable synaptic functionality. Low-frequency noise analysis reveals that the ALD-derived atomically flat interface (γ = 0.934) generates tunable shallow-level defects, acting as transient trapping sites and forming a controllable 1/<i>f</i> noise source. The devices exhibit exceptional stability, with threshold voltage drift below 330 mV under 4500 s of bias/illumination stress and minimal variation (<10 mV) after 500 mechanical bending cycles. Leveraging these properties, we implement hybrid audio-digit labels for information concealment, achieving 89.58% recognition accuracy, and demonstrate a three-level image encryption system. This work provides a scalable, energy-efficient platform for back-end-of-line-compatible monolithic 3D memory integration, highlighting the interplay between defect engineering and interfacial dynamics in ultrathin oxide semiconductors.

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Publication Details

Journal
The Journal of Physical Chemistry Letters
Published
2026-01-09
DOI
https://doi.org/10.1021/acs.jpclett.5c03934
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
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article

ALD-Driven Ultrathin IGZO Neuromorphic Transistors with Defect-Engineered 1/ f Noise for Stable Multimodal Information Encryption

Huanhuan Wei, Prof. Gang He, Shanshan Jiang, Bo He et al.
The Journal of Physical Chemistry Letters
Advanced Memory and Neural Computing
article

ALD-Driven Ultrathin IGZO Neuromorphic Transistors with Defect-Engineered 1/ f Noise for Stable Multimodal Information Encryption

Huanhuan Wei, Prof. Gang He, Shanshan Jiang, Bo He, Haifeng Xu, Peng Chen, Jiawei Yang, Bingyan Wang
article en

Abstract

Ultrathin neuromorphic transistors with sub-10 nm indium-gallium-zinc oxide (IGZO) channels and 20 nm Al<sub>2</sub>O<sub>3</sub> gate dielectrics have been fabricated via low-temperature (250 °C) atomic layer deposition (ALD), achieving conformal interfaces critical for reliable synaptic functionality. Low-frequency noise analysis reveals that the ALD-derived atomically flat interface (γ = 0.934) generates tunable shallow-level defects, acting as transient trapping sites and forming a controllable 1/<i>f</i> noise source. The devices exhibit exceptional stability, with threshold voltage drift below 330 mV under 4500 s of bias/illumination stress and minimal variation (<10 mV) after 500 mechanical bending cycles. Leveraging these properties, we implement hybrid audio-digit labels for information concealment, achieving 89.58% recognition accuracy, and demonstrate a three-level image encryption system. This work provides a scalable, energy-efficient platform for back-end-of-line-compatible monolithic 3D memory integration, highlighting the interplay between defect engineering and interfacial dynamics in ultrathin oxide semiconductors.

The Journal of Physical Chemistry LettersVol. 17(3)
Anhui University (CN), Hefei University of Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 93%
Advanced Memory and Neural Computing
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