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Published on: May 13, 2020
Electrical Characteristics of CMOS-Compatible SiO-Based Resistive-Switching Devices
Maria N Koryazhkina1, Dmitry O Filatov1, Stanislav V Tikhov1
1Research and Education Center "Physics of Solid-State Nanostructures", National Research Lobachevsky State University of Nizhny Novgorod, 603022 Nizhny Novgorod, Russia.
Memristive devices using silicon oxide and titanium nitride show promising resistive switching. Thermal treatment enables stable synaptic behavior for neuromorphic computing applications.
Area of Science:
- Materials Science
- Electrical Engineering
- Nanotechnology
Background:
- Memristive devices are crucial for next-generation neuromorphic systems.
- Compatibility with existing fabrication processes (CMOS) is essential for integration.
- Understanding resistive switching mechanisms is key to device optimization.
Purpose of the Study:
- To investigate the electrical and resistive switching properties of memristive devices.
- To evaluate the impact of thermal treatment on device stability and functionality.
- To explore the potential of these devices for hardware neuromorphic systems.
Main Methods:
- Fabrication of memristive devices using silicon oxide (insulator) and titanium nitride (electrode).
- Characterization of electrical properties and resistive switching across a wide temperature range.
- Analysis of conduction mechanisms in high-resistance state (HRS) and low-resistance state (LRS).
Main Results:
- Devices exhibit bipolar resistive switching with synaptic behavior after thermal treatment.
- Conduction mechanisms involve trap-induced filaments, with distinct behaviors in HRS (activation nature) and LRS (Ohm's law and tunneling).
- As-fabricated devices lack stable resistance states without thermal treatment.
Conclusions:
- CMOS-compatible materials and low-temperature fabrication enable efficient integration.
- The studied memristive devices show potential for implementing hardware neuromorphic systems.
- Thermal treatment is critical for achieving stable and functional synaptic behavior.
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