MoS Memtransistors Fabricated by Localized Helium Ion Beam Irradiation.

ACS Nano

Centre for Research on Adaptive Nanostructures and Nanodevices (CRANN) and Advanced Materials and Bioengineering Research (AMBER) Research Centers , Trinity College Dublin, Dublin 2 , Ireland.

Published: December 2019

AI Article Synopsis

  • - The study presents a method for creating lateral memtransistors using monolayer molybdenum disulfide (MoS) by utilizing a focused helium ion beam to introduce defects into the material's structure.
  • - By strategically creating these defect-rich areas, the transistors can modulate their resistance in response to electric fields, showcasing memristive properties that can effectively store and process information.
  • - The devices demonstrate reliable performance over 1180 switching cycles and excel in long-term memory functions, suggesting potential applications for future low-power memory solutions and neuromorphic computing.

Article Abstract

Two-dimensional (2D) layered semiconductors have recently emerged as attractive building blocks for next-generation low-power nonvolatile memories. However, challenges remain in the controllable fabrication of bipolar resistive switching circuit components from these materials. Here, the experimental realization of lateral memtransistors from monolayer single-crystal molybdenum disulfide (MoS) utilizing a focused helium ion beam is reported. Site-specific irradiation with the focused probe of a helium ion microscope creates a nanometer-scale defect-rich region, bisecting the MoS lattice. The reversible drift of these defects in the applied electric field modulates the resistance of the channel, enabling versatile memristive functionality. The device can reliably retain its resistance ratios and set/reset biases for 1180 switching cycles. Long-term potentiation and depression with sharp habituation are demonstrated. This work establishes the feasibility of ion irradiation for controllable fabrication of 2D memristive devices with promising key performance parameters, such as low power consumption. The applicability of these devices for synaptic emulation may address the demands of future neuromorphic architectures.

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http://dx.doi.org/10.1021/acsnano.9b07421DOI Listing

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