Contrasting Analog and Digital Resistive Switching Memory Characteristics in Solution-Processed Copper (I) Thiocyanate and Its Polymer Electrolyte Based Memristive Devices
Rajesh Deb, Saumya R. Mohapatra, Manjula G. Nair, Ujjal Das

TL;DR
This study compares the resistive switching behaviors of CuSCN-based memristive devices, demonstrating tunable analog and digital memory characteristics influenced by fabrication parameters and device structure, with implications for neuromorphic computing.
Contribution
It provides a comparative analysis of CuSCN and CuSCN-based polymer electrolyte memristive devices, revealing how fabrication conditions affect their analog and digital switching behaviors.
Findings
Thicker CuSCN layers exhibit only digital RS memory.
Thinner CuSCN layers show both analog and digital RS memory.
Different conduction mechanisms (Schottky emission vs electrochemical metallization) are responsible for RS behaviors.
Abstract
Usually, resistive switching (RS) devices show digital RS memory (sharp SET and RESET process), which is most suitable for digital data storage applications. Some RS devices also manifest ideal memristive behavior or analog memory characteristics (gradual change in resistance states). The analog RS properties of memristive devices widen their application domain to a much broader field of neuromorphic computing. The tunability of memristive devices to digital or analog memory applications greatly depends upon the switching medium. In this work, we report a comparative study on RS properties of two kinds of memristive devices based upon copper (I) thiocyanate (CuSCN) and a solid polymer electrolyte (SPE) made up of CuSCN as ionic moieties in polyethylene oxide (PEO). The device (ITO/CuSCN/Cu), prepared by spin-coating CuSCN layer between ITO and copper electrode, shows simultaneous analog…
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Taxonomy
TopicsAdvanced Memory and Neural Computing · Photoreceptor and optogenetics research · Neural dynamics and brain function
