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May 19, 2026physica status solidi (a)0 citations

Coexistence of Nonvolatile and Volatile Memory in Molybdenum Disulfide‐Polymethyl Methacrylate Polymer Nanocomposite Memory Device

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PMPriyanka B. M.PAP. AnjaneyuluAVAshish Varade

Key Points

  • This work investigates the coexistence of volatile and nonvolatile memory in a MoS2-PMMA nanocomposite device.
  • Utilized XRD and UV-Vis DRS for material characterization of MoS2 nanoparticles.
  • Constructed a two-terminal RRAM device with Ag and FTO electrodes.
  • Performed I-V measurements and stability tests such as retention and endurance tests.
  • The device exhibited both volatile and nonvolatile resistive switching depending on the voltage-sweep polarity.
  • Nonvolatile properties showed write-once-read-many (WORM) memory characteristics.
  • I-V data analysis revealed different conduction mechanisms affecting memory volatility.

Abstract

A two‐terminal RRAM device based on a poly methyl‐methacrylate (PMMA) and molybdenum disulfide (MoS 2 ) polymer nanocomposite is studied in this work. The structure and bandgap of MoS 2 nanoparticles are investigated using material characterization methods, such as XRD and UV‐Vis DRS. The Silver (Ag) and fluorine‐doped tin oxide (FTO) glass are used as the top and bottom electrodes, in the fabrication of the polymer nanocomposite device. The device FTO/MoS 2 ‐PMMA/Ag exhibits both volatile and nonvolatile resistive switching, with the switching behavior primarily dependent on the voltage‐sweep polarity, according to systematic current–voltage ( I – V ) measurements. The nonvolatile resistive‐switching properties demonstrate write‐once‐read‐many (WORM) memory. The device's reliability is demonstrated through stability tests, including retention and endurance tests. I – V data analysis indicates the impact of the conduction mechanism on the nonvolatility and volatility of the device memory, thereby aiding in understanding the switching behaviour. The coexistence of volatile and nonvolatile resistive switching memory in the device is understood by modeling the I – V data using various bulk‐limited and electrode‐limited conduction mechanisms.

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Cite This Study

M. et al. (2026) studied this question.

synapsesocial.com/papers/6a0bfda5166b51b53d378ef2https://doi.org/10.1002/pssa.202500671
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