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Improved Synaptic Behavior of CBRAM Using Internal Voltage Divider for Neuromorphic Systems
- Source :
- IEEE Transactions on Electron Devices. 65:3976-3981
- Publication Year :
- 2018
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2018.
-
Abstract
- In this paper, we demonstrate the linear conductance-change characteristics of a conductive-bridging RAM (CBRAM) to be employed as an artificial synapse device in neuromorphic systems. The CBRAM with a bilayer electrolyte structure ( ${\mathrm {Cu/Cu}}_{{2}-{x}}\text{S}$ / $\mathrm {WO}_{{3}-{x}}$ /W) exhibits analog switching behavior during the depression process due to the well-controlled dissolution of the conductive filament. To analyze the origin of this motion, we investigate the effective voltage applied to $\mathrm {Cu}_{{2}-{x}}\text{S}$ and $\mathrm {WO}_{{3}-{x}}$ . Our findings reveal that $\mathrm {Cu}_{{2}-{x}}\text{S}$ , acting as a voltage divider, helps in suppressing the large voltage drop in $\mathrm {WO}_{{3}-{x}}$ , where the formation/dissolution of filament occurs. Furthermore, due to the diode-like characteristics of $\mathrm {Cu}_{{2}-{x}}\text{S}$ and the division of voltage drop between $\mathrm {WO}_{{3}-{x}}$ and $\mathrm {Cu}_{{2}-{x}}\text{S}$ , an optimum programming energy is applied to $\mathrm {WO}_{{3}-{x}}$ during the depression process. This leads to linear conductance-change characteristics under identical pulses. However, abrupt conductance-change characteristics are observed during the potentiation process. Thus, we use only the device characteristics of the depression part for the neuromorphic system. An excellent classification accuracy is achieved due to the linear conductance-change characteristics and optimized pulse conditions.
- Subjects :
- 010302 applied physics
Materials science
Programmable metallization cell
Voltage divider
02 engineering and technology
021001 nanoscience & nanotechnology
01 natural sciences
Electronic, Optical and Magnetic Materials
Crystallography
0103 physical sciences
Conductive filament
Electrical and Electronic Engineering
0210 nano-technology
Energy (signal processing)
Subjects
Details
- ISSN :
- 15579646 and 00189383
- Volume :
- 65
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Electron Devices
- Accession number :
- edsair.doi...........aa6db6842c322a7d7f363ffe232e8c81