All-Optical Data Processing with Photon-Avalanching Nanocrystalline Photonic Synapse.
lanthanides
nanoparticles
photon-avalanche emission
reservoir computing
synapse
Journal
Advanced materials (Deerfield Beach, Fla.)
ISSN: 1521-4095
Titre abrégé: Adv Mater
Pays: Germany
ID NLM: 9885358
Informations de publication
Date de publication:
Oct 2023
Oct 2023
Historique:
revised:
01
08
2023
received:
10
05
2023
medline:
13
8
2023
pubmed:
13
8
2023
entrez:
12
8
2023
Statut:
ppublish
Résumé
Data processing and storage in electronic devices are typically performed as a sequence of elementary binary operations. Alternative approaches, such as neuromorphic or reservoir computing, are rapidly gaining interest where data processing is relatively slow, but can be performed in a more comprehensive way or massively in parallel, like in neuronal circuits. Here, time-domain all-optical information processing capabilities of photon-avalanching (PA) nanoparticles at room temperature are discovered. Demonstrated functionality resembles properties found in neuronal synapses, such as: paired-pulse facilitation and short-term internal memory, in situ plasticity, multiple inputs processing, and all-or-nothing threshold response. The PA-memory-like behavior shows capability of machine-learning-algorithm-free feature extraction and further recognition of 2D patterns with simple 2 input artificial neural network. Additionally, high nonlinearity of luminescence intensity in response to photoexcitation mimics and enhances spike-timing-dependent plasticity that is coherent in nature with the way a sound source is localized in animal neuronal circuits. Not only are yet unexplored fundamental properties of photon-avalanche luminescence kinetics studied, but this approach, combined with recent achievements in photonics, light confinement and guiding, promises all-optical data processing, control, adaptive responsivity, and storage on photonic chips.
Identifiants
pubmed: 37572370
doi: 10.1002/adma.202304390
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e2304390Subventions
Organisme : National Science Center
ID : 2018/31/B/ST5/01827
Organisme : National Science Center
ID : 2021/43/B/ST5/01244
Organisme : National Science Center
ID : 2018/31/G/ST3/03596
Organisme : "Excellence Initiative - Research University" of the NCU in Toruń
ID : 4101.00000066
Organisme : Wroclaw Centre for Networking and Supercomputing, Poland
ID : 529
Informations de copyright
© 2023 The Authors. Advanced Materials published by Wiley-VCH GmbH.
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