In Situ Growth of Ruddlesden–Popper Perovskite Nanocrystals in Carbon Nanotubes for Brain-Inspired Optoelectronic Synapses
Source abstract
Abstract
Two-dimensional Ruddlesden–Popper perovskites have emerged as promising materials for optoelectronic synapse applications due to their unique quantum confinement effects, tunable band gap, excellent photoresponse, and enhanced environmental stability. Their layered structure enables efficient charge transport and light absorption, which are essential for mimicking synaptic functionalities. Here, we report a photonic synapse device using Ruddlesden–Popper perovskite nanocrystals (RPNCs) grown inside the inner channels of multiwalled carbon nanotubes (MWCNTs), a unique approach that enhances the environmental stability and charge transfer efficiency. The fabricated device demonstrates synaptic functionalities, including paired-pulse facilitation (PPF), synaptic time-dependent plasticity (STDP), and long-term potentiation and depression (LTP/LTD), with memory retention exceeding 1000 s. Furthermore, our CNN-based image recognition study achieved 92% accuracy on MNIST and 85% accuracy on F-MNIST, highlighting the potential for neuromorphic computing applications. This approach offers significant advantages in material stability and low-power operation, making it a promising candidate for future optoelectronic and artificial vision systems.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Perovskite Materials and Applications · Advanced Memory and Neural Computing · Conducting polymers and applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Physics
University of Central Florida
Nanoscience and Technology Centre
Department of Material Science and Engineering
Department of Electrical and Computer Engineering
Department of Physics and Space Sciences
Florida Institute of Technology
Advanced Materials Processing and Analysis Center
CREOL, The College of Optics and Photonics
Funding
University of Central Florida
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