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Tunable synaptic memory response using organic regioisomeric donor-acceptor-donor luminophore triads.

Mainak Bose1, Manoj Kangsabanik2, Dibyendu Dey1

  • 1Department of Chemistry, Jadavpur University Kolkata-700032 India manaspanda.chemistry@jadavpuruniversity.in.

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Summary

Researchers developed novel organic compounds for synaptic memory devices, mimicking biological learning. These materials offer tunable optoelectronic properties for advanced computing and memory applications.

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Area of Science:

  • Materials Science
  • Organic Electronics
  • Neuroscience

Background:

  • Biological learning and memory are complex processes.
  • Small molecular compounds offer a simplified model for studying synaptic functions.
  • Organic semiconductors are promising for neuromorphic computing.

Purpose of the Study:

  • To design and synthesize novel regioisomeric donor-acceptor-donor (DAD) fluorophores.
  • To investigate the impact of substitution on molecular conjugation and optoelectronic properties.
  • To evaluate the performance of these DAD fluorophores in optoelectronic synaptic memory devices.

Main Methods:

  • Synthesis of novel DAD fluorophores.
  • Photophysical characterization including luminescence and lifetime measurements.
  • X-ray diffraction and theoretical calculations for structure-property elucidation.
  • Fabrication and testing of two-terminal organic synaptic memory devices.

Main Results:

  • Substitution-dependent solid-state luminescence and varied lifetimes were observed.
  • Regiochemistry significantly influences π-π interactions and molecular orbitals.
  • Devices exhibited key neuromorphic functionalities like paired-pulse facilitation and long-term potentiation.
  • Demonstrated structure-property relationships for multifunctional organic semiconductors.

Conclusions:

  • Regioisomerism provides design guidelines for advanced organic semiconductors.
  • These materials show potential for synaptic memory, solid-state lighting, sensing, and bioinspired computing.
  • The study advances the development of controllable and tunable chemical systems for modeling biological processes.