Ion-Mediated Recombination Dynamics in Perovskite-Based Memory Light-Emitting Diodes for Neuromorphic Control Systems
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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Detail(s)
Original language | English |
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Article number | 2305857 |
Journal / Publication | Advanced Materials |
Volume | 36 |
Issue number | 5 |
Online published | 28 Aug 2023 |
Publication status | Published - 1 Feb 2024 |
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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. © 2023 Wiley-VCH GmbH.
Research Area(s)
- halide perovskites, light emitting diodes, memristors, neuromorphic, recombination dynamics
Citation Format(s)
Ion-Mediated Recombination Dynamics in Perovskite-Based Memory Light-Emitting Diodes for Neuromorphic Control Systems. / Yantara, Natalia; Ng, Si En; Sharma, Divyam et al.
In: Advanced Materials, Vol. 36, No. 5, 2305857, 01.02.2024.
In: Advanced Materials, Vol. 36, No. 5, 2305857, 01.02.2024.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review