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Updated: Sep 17, 2025

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
Published on: March 9, 2019
Self-Rectifying MoS2 Memtransistor via Asymmetry Contact Metal Engineering for Neuromorphic Computing
Tian Tan1, Maheswari Sivan2, Kai Zhou3
1School of Mechanical Engineering, Shanghai Jiao Tong University, No. 800 Dongchuan Road, Shanghai, 200240, P. R. China.
Abstract:
Memtransistors, integrating the resistive switching behavior of memristors with the gate tunability of transistors, offer significant promise for neuromorphic computing and in-memory processing. However, their scalability in crossbar arrays is limited by sneak leakage currents. In this study, it is reported that a self-rectifying Molybenum Disulfide (MoS2) memtransistor is enabled by asymmetric metal contacts, where a Schottky Platinum (Pt) contact and a quasi-ohmic Bismuth (Bi) contact are employed. The asymmetric Schottky barrier, coupled with drain voltage-induced barrier narrowing, induces highly asymmetric current characteristics. The device exhibits exceptional performance metrics, including a high rectification ratio of 104, a switching ratio of 104, and a retention time exceeding 105 seconds. The dynamic modulation of the Schottky barrier height is validated through temperature-dependent studies, energy band analysis, and technology computer-aided design (TCAD) simulations. Compared to non-rectifying configurations, the asymmetric memtransistors reduce crossbar array leakage currents by five orders of magnitude while enhancing power efficiency by 61 times. Simulations using an Echo State Network (ESN) highlight the memtransistor's robustness under low-precision and noisy conditions. Overall, the approach presents a scalable, energy-efficient approach for memtransistor-based in-memory computing and neuromorphic architectures.
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