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Ion-Mediated Recombination Dynamics in Perovskite-Based Memory Light-Emitting Diodes for Neuromorphic Control Systems
Natalia Yantara1, Si En Ng2, Divyam Sharma2
1Energy Research Institute @ NTU (ERI@N), Nanyang Technological University, 50 Nanyang Drive, Singapore, 637553, Singapore.
Advanced Materials (Deerfield Beach, Fla.)
|August 28, 2023
Summary
This study introduces a novel perovskite-organic tandem light-emitting diode (LED) with dual slow-fast dynamics. This neuromorphic device enhances signal processing and pattern recognition by modulating light emission.
Area of Science:
- Materials Science
- Neuroscience
- Optoelectronics
Background:
- Neuromorphic devices leverage co-localized memory and computing for efficiency.
- Biological systems utilize dual fast and slow dynamics for communication and regulation.
- Halide perovskites offer unique coupled ionic, electronic, and optical properties.
Purpose of the Study:
- To engineer a neuromorphic device with dual slow-fast dynamics using halide perovskites.
- To demonstrate a perovskite-organic tandem light-emitting diode (LED) with modulated emission.
- To explore applications in neuromorphic pre-processing and emulation of biological mechanisms.
Main Methods:
- Fabrication of a dual-emitter tandem LED using a green-emitting quasi-2D perovskite and a red-emitting organic layer.
- Investigation of ion-mediated recombination zone modulation.
- Characterization of frequency-dependent response and memory effects in emission intensity and spectra.
Main Results:
- Demonstrated modulation of emission spectrum and intensity via ion migration.
- Achieved high dynamic range memory in the LED's optical output.
- Illustrated image contrast enhancement for improved pattern recognition.
- Physically emulated the inhibition of return mechanism using the device's slow-fast dynamics.
Conclusions:
- The developed perovskite-organic tandem LED successfully integrates dual slow-fast dynamics for neuromorphic applications.
- The device shows potential for efficient signal processing, pattern recognition, and emulating biological functions.
- Halide perovskites are promising materials for advanced neuromorphic computing systems.

