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Mem-capacitance enabled volatile switching in Dopamine@Agarose-based devices

  • Swarali K. Joshi
  • , Trishala Desai
  • , Kasturi A. Rokade
  • , Omkar Y. Pawar
  • , Omkar A. Patil
  • , Akash V. Fulari
  • , Sunil S. Nirmale
  • , Rajanish K. Kamat
  • , Chitra Gurnani
  • , Sooman Lim*
  • , Tukaram D. Dongale*
  • *Corresponding author for this work
  • Jeonbuk National University
  • Shivaji University
  • Symbiosis International University
  • Saveetha Institute of Medical and Technical Sciences (Deemed to be University)

Research output: Contribution to journalJournal articlepeer-review

Abstract

The development of biocompatible, environmentally friendly, and low-cost functional switching materials for memory and synaptic learning devices has gained importance in recent years. Dopamine is a naturally occurring biomaterial that has been used in various fields. In the present study, dopamine@agarose was used as a switching layer, sandwiched between Ag top and FTO bottom electrodes to form the Ag/dopamine@agarose/FTO device. The agarose was utilized due to its natural polymeric properties and its functionality as a binder. The switching layer was characterized using UV–vis spectroscopy, Fourier transform infrared spectroscopy, atomic force microscopy, and field emission scanning electron microscopy. The non-pinched hysteresis curve revealed the mem-capacitive behaviour of the device, which was corroborated using electrochemical and frequency-dependent capacitance-voltage studies. The charge-flux properties depicted the non-ideal memristor nature of the device. Furthermore, the cumulative probability and Weibull distribution were studied to understand the switching variability. The fabricated device demonstrates a stable multilevel volatile memory effect over 15000 cycles. The results assert that dopamine can be a potential candidate for developing sustainable volatile memory devices.

Original languageEnglish
Article number107305
JournalOrganic Electronics
Volume145
DOIs
StatePublished - 2025.10

Keywords

  • Bioelectronics
  • Biomaterials
  • Dopamine
  • Mem-capacitance
  • Memristor
  • Volatile memory

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