Ion-Mediated Recombination Dynamics in Perovskite-Based Memory Light-Emitting Diodes for Neuromorphic Control Systems

Natalia Yantara, Si En Ng, Divyam Sharma, Biyan Zhou, Pao Sheng Vincent Sun, Huei Min Chua, Nur Fadilah Jamaludin, Arindam Basu*, Nripan Mathews*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

Neuromorphic devices can help perform memory-heavy tasks more efficiently due to the co-localization of memory and computing. In biological systems, fast dynamics are necessary for rapid communication, while slow dynamics aid in the amplification of signals over noise and regulatory processes such as adaptation- such dual dynamics are key for neuromorphic control systems. Halide perovskites exhibit much more complex phenomena than conventional semiconductors due to their coupled ionic, electronic, and optical properties which result in modulatable drift, diffusion of ions, carriers, and radiative recombination dynamics. This is exploited to engineer a dual-emitter tandem device with the requisite dual slow-fast dynamics. Here, a perovskite-organic tandem light-emitting diode (LED) capable of modulating its emission spectrum and intensity owing to the ion-mediated recombination zone modulation between the green-emitting quasi-2D perovskite layer and the red-emitting organic layer is introduced. Frequency-dependent response and high dynamic range memory of emission intensity and spectra in a LED are demonstrated. Utilizing the emissive read-out, image contrast enhancement as a neuromorphic pre-processing step to improve pattern recognition capabilities is illustrated. As proof of concept using the device's slow-fast dynamics, an inhibition of the return mechanism is physically emulated.

Original languageEnglish
Article number2305857
JournalAdvanced Materials
Volume36
Issue number5
DOIs
Publication statusPublished - Feb 1 2024
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2023 Wiley-VCH GmbH.

ASJC Scopus Subject Areas

  • General Materials Science
  • Mechanics of Materials
  • Mechanical Engineering

Keywords

  • halide perovskites
  • light emitting diodes
  • memristors
  • neuromorphic
  • recombination dynamics

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