4.8 Article

Interface-Modulated Resistive Switching in Mo-Irradiated ReS2 for Neuromorphic Computing

Journal

ADVANCED MATERIALS
Volume 34, Issue 30, Pages -

Publisher

WILEY-V C H VERLAG GMBH
DOI: 10.1002/adma.202202722

Keywords

artificial synapses; bilayer resistive materials; doping; rhenium disulfide; memristor

Funding

  1. A*STAR Science and Engineering Research Council under its AME IRG Program [A2083c0061]
  2. Ministry of Education [MOE-T2EP50120-0016]
  3. National Research Foundation Singapore [NRF-CRP24-2020-0002]
  4. Singapore University of Technology and Design (SUTD) Start-up Research Grant [SRG SCI 2021 163]

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This study demonstrates a facile approach to transform an inactive rhenium disulfide (ReS2) into an effective switching material through interfacial modulation induced by molybdenum-irradiation (Mo-i) doping. The results show that ReS2 of various thicknesses can be switchable by modulating the Mo-irradiation period. The fabricated device exhibits bipolar non-volatile switching, programmable multilevel resistance states, and long-term synaptic plasticity. Additionally, it achieves a high MNIST learning accuracy of 91% under a non-identical pulse train.
Coupling charge impurity scattering effects and charge-carrier modulation by doping can offer intriguing opportunities for atomic-level control of resistive switching (RS). Nonetheless, such effects have remained unexplored for memristive applications based on 2D materials. Here a facile approach is reported to transform an RS-inactive rhenium disulfide (ReS2) into an effective switching material through interfacial modulation induced by molybdenum-irradiation (Mo-i) doping. Using ReS2 as a model system, this study unveils a unique RS mechanism based on the formation/dissolution of metallic beta-ReO2 filament across the defective ReS2 interface during the set/reset process. Through simple interfacial modulation, ReS2 of various thicknesses are switchable by modulating the Mo-irradiation period. Besides, the Mo-irradiated ReS2 (Mo-ReS2) memristor further exhibits a bipolar non-volatile switching ratio of nearly two orders of magnitude, programmable multilevel resistance states, and long-term synaptic plasticity. Additionally, the fabricated device can achieve a high MNIST learning accuracy of 91% under a non-identical pulse train. The study's findings demonstrate the potential for modulating RS in RS-inactive 2D materials via the unique doping-induced charged impurity scattering property.

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