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Volatile MoS2 Memristors with Lateral Silver Ion Migration for Artificial Neuron Applications
Sofía Cruces1, Mohit Dineshkumar Ganeriwala2, Jimin Lee1
1Chair of Electronic Devices RWTH Aachen University Otto-Blumenthal-Str. 25 52074 Aachen Germany.
Researchers developed forming-free, volatile resistive switching devices using multilayer molybdenum disulfide (MoS2) grown via metal-organic chemical vapor deposition (MOCVD). These devices exhibit fast switching and low operating voltages, paving the way for advanced neuromorphic computing applications.
Area of Science:
- Materials Science and Engineering
- Nanotechnology
- Solid-State Electronics
Background:
- Layered two-dimensional (2D) semiconductors facilitate ion migration along van der Waals (vdW) gaps and surfaces.
- This ion migration property is crucial for resistive switching (RS) in emerging memory, selector, and neuromorphic computing devices.
- Previous lateral molybdenum disulfide (MoS2)-based volatile RS devices relied on exfoliated single crystals and required a forming step.
Purpose of the Study:
- To demonstrate repeatable, forming-free volatile resistive switching (RS) in multilayer MoS2 devices.
- To investigate the underlying Ag ion migration mechanism in MOCVD-grown MoS2.
- To develop a physics-based compact model and explore neuromorphic applications.
Main Methods:
- Fabrication of multilayer MoS2 devices using metal-organic chemical vapor deposition (MOCVD).
- Characterization of volatile RS behavior, including operating voltage and switching speed.
- Investigation of the switching mechanism using transmission electron microscopy (TEM), electronic transport modeling, and density functional theory (DFT).
Main Results:
- Achieved highly reproducible, forming-free volatile RS in MOCVD-grown multilayer MoS2.
- Demonstrated low operating voltages (≈2 V) and fast switching times (down to 130 ns) for micrometer-scale devices.
- Identified Ag ion surface migration as the primary switching mechanism.
Conclusions:
- MOCVD-grown multilayer MoS2 offers a promising platform for forming-free, volatile resistive switching devices.
- The developed devices show potential for high-performance neuromorphic computing applications.
- A physics-based compact model facilitates the understanding and design of such memristive systems.
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