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.
Authors
- Huanhuan Wei (ORCID: https://orcid.org/0000-0002-1306-5941)
- Prof. Gang He
- Shanshan Jiang (ORCID: https://orcid.org/0000-0002-7069-2095)
- Bo He (ORCID: https://orcid.org/0000-0003-3773-6516)
- Haifeng Xu
- Peng Chen
- Jiawei Yang
- Bingyan Wang
Institutions
- Anhui University (CN)
- Hefei University of Technology (CN)
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
- 0.00