Proceedings of MATSUS Fall 2024 Conference (MATSUSFall24)
DOI: https://doi.org/10.29363/nanoge.matsusfall.2024.017
Publication date: 28th August 2024
Neuromorphic devices can help perform memory-heavy tasks more efficientlydue to the co-localization of memory and computing. In biological systems,fast dynamics are necessary for rapid communication, while slow dynamicsaid in the amplification of signals over noise and regulatory processes such asadaptation- such dual dynamics are key for neuromorphic control systems.Halide perovskites exhibit much more complex phenomena than conventionalsemiconductors due to their coupled ionic, electronic, and optical propertieswhich result in modulatable drift, diffusion of ions, carriers, and radiativerecombination dynamics. This is exploited to engineer a dual-emitter tandemdevice with the requisite dual slow-fast dynamics. Here, a perovskite-organictandem light-emitting diode (LED) capable of modulating its emissionspectrum and intensity owing to the ion-mediated recombination zonemodulation between the green-emitting quasi-2D perovskite layer and thered-emitting organic layer is introduced. Frequency-dependent response andhigh dynamic range memory of emission intensity and spectra in a LED aredemonstrated. Utilizing the emissive read-out, image contrast enhancementas a neuromorphic pre-processing step to improve pattern recognitioncapabilities is illustrated. As proof of concept using the device’s slow-fastdynamics, an inhibition of the return mechanism is physically emulated
This research was supported by the National Research Foundation (NRF), Singapore, under itsCompetitive Research Program (CRP) (NRF-CRP25-2020-0002) and by theMinistry of Education (MOE) through MOE2019-T2-2-097.
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