Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/173940
Title: Ion-mediated recombination dynamics in perovskite-based memory light-emitting diodes for neuromorphic control systems
Authors: Yantara, Natalia
Ng, Si En
Sharma, Divyam
Zhou, Biyan
Sun, Vincent Pao-Sheng
Chua, Huei Min
Nur Fadilah Jamaludin
Basu, Arindam
Mathews, Nripan
Keywords: Physics
Issue Date: 2024
Source: Yantara, N., Ng, S. E., Sharma, D., Zhou, B., Sun, V. P., Chua, H. M., Nur Fadilah Jamaludin, Basu, A. & Mathews, N. (2024). Ion-mediated recombination dynamics in perovskite-based memory light-emitting diodes for neuromorphic control systems. Advanced Materials, 36(5), 2305857-. https://dx.doi.org/10.1002/adma.202305857
Project: NRF-CRP25-2020-0002 
MOE2019-T2-2-097 
Journal: Advanced Materials 
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.
URI: https://hdl.handle.net/10356/173940
ISSN: 0935-9648
DOI: 10.1002/adma.202305857
Schools: School of Materials Science and Engineering 
Research Centres: Energy Research Institute @ NTU (ERI@N) 
Rights: © 2023 Wiley-VCH GmbH. All rights reserved. This article may be downloaded for personal use only. Any other use requires prior permission of the copyright holder. The Version of Record is available online at http://doi.org/10.1002/adma.202305857.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MSE Journal Articles

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