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Updated: Sep 19, 2026

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
Published on: March 9, 2019
Fast Electronic Memristors with Improved Retention and Synaptic Functionality Enabled by Tri-TaOx Engineering
Hyungjun Park1, Han Yong Jeong1, Kyung Seok Woo2,3
1Department of Materials Science and Engineering and Inter-University Semiconductor Research Center, Seoul National University, Gwanak-ro 1, Daehak-dong, Gwanak-gu, Seoul08826, Republic of Korea.
Abstract:
Artificial synaptic memristors require fast switching, stable retention, low variability, and linear conductance modulation, but achieving these properties simultaneously is difficult in electronic bipolar resistive switching (e-BRS) devices. In this study, a tri-TaOx memristor is demonstrated by interposing a defective oxygen-deficient TaOx switching layer (Tx, x ≈ 1.8) between insulating near-stoichiometric TaOy interfacial layers (Ty, y ≈ 2.5) at the electrode interfaces. The optimized Ty/Tx/Ty device exhibits forming-free electronic switching, an on/off ratio of 138, a rectification ratio of ∼1.1 × 103, and low cycle-to-cycle and device-to-device variations. Stable retention is maintained in both resistance states, with an on/off ratio greater than 10 over 103 s at room temperature and 120 °C. Under alternating-current pulse operation, the device is programmed by 10 ns SET/RESET pulses and exhibits reliable conductance modulation. The memory window is maintained up to approximately 109 cycles, followed by gradual degradation and final failure near 2 × 109 cycles. The Ty/Tx/Ty tri-TaOx memristor also exhibits gradual potentiation/depression under an optimal identical-pulse condition of ±2.6 V and 400 ns, with low nonlinearity, low-conductance variation, and symmetric spike-timing-dependent plasticity behavior. These results demonstrate that the Ty/Tx/Ty tri-TaOx device outperforms previous e-BRS devices as a high-performance electronic synaptic memristor for both artificial deep neural network accelerators and low-power spiking-driven neuromorphic systems.
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