Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2024Retinomorphic Color Perception Based on Opponent Process Enabled by Perovskite Bipolar Photodetectors13citations
  • 2024Ion-Mediated Recombination Dynamics in Perovskite-Based Memory Light-Emitting Diodes for Neuromorphic Control Systems10citations

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Chart of shared publication
Mathews, Nripan
2 / 13 shared
Ng, Si En
2 / 4 shared
Chattopadhyay, Anupam
1 / 1 shared
Erdenebileg, Enkhtur
1 / 1 shared
Li, Patrick Wen Feng
1 / 1 shared
Yantara, Natalia
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Mhaisalkar, Subodh
1 / 5 shared
Lam, Yeng Ming
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Tu, Ngo Anh
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Chua, Huei Min
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Zhou, Biyan
1 / 1 shared
Sun, Pao-Sheng Vincent
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Jamaludin, Nur Fadilah
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Chart of publication period
2024

Co-Authors (by relevance)

  • Mathews, Nripan
  • Ng, Si En
  • Chattopadhyay, Anupam
  • Erdenebileg, Enkhtur
  • Li, Patrick Wen Feng
  • Yantara, Natalia
  • Mhaisalkar, Subodh
  • Lam, Yeng Ming
  • Tu, Ngo Anh
  • Chua, Huei Min
  • Zhou, Biyan
  • Sun, Pao-Sheng Vincent
  • Jamaludin, Nur Fadilah
OrganizationsLocationPeople

article

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

  • Mathews, Nripan
  • Ng, Si En
  • Chua, Huei Min
  • Zhou, Biyan
  • Sharma, Divyam
  • Sun, Pao-Sheng Vincent
  • Yantara, Natalia
  • Jamaludin, Nur Fadilah
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.

Topics
  • perovskite
  • impedance spectroscopy
  • semiconductor