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Memristive Behaviors Dominated by Reversible Nucleation Dynamics of Phase‐Change Nanoclusters

Memristive Behaviors Dominated by Reversible Nucleation Dynamics of Phase‐Change Nanoclusters One of the important steps for realizing artificial intelligence is identifying elementary units that are beneficial for neural network construction. A type of memristive behavior in which phase‐change nanoclusters nucleate adaptively in two adjacent dielectric layers with distinct distribution patterns is demonstrated. This memristive system responds in potentiation to increased stimulation strength and fire action potential after threshold stimulation. Reversible nucleation of phase‐change nanoclusters is confirmed after both in situ and ex situ examinations using high‐resolution transmission electron microscopy. The dynamics at the nanoscale level dominates the actions of the two dielectric layers. The oscillation response over a long period is due to the competition between crystalline and amorphous phases in the layer near the bottom electrode. Weight mutation, that is, action potential firing, is caused by the blockage of the filament in the layer near the top electrode. The memristive system is compact and able to execute complicated functions of a complete neuron and performs an important role in neuromorphic computing. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Small Wiley

Memristive Behaviors Dominated by Reversible Nucleation Dynamics of Phase‐Change Nanoclusters

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References (45)

Publisher
Wiley
Copyright
© 2022 Wiley‐VCH GmbH
ISSN
1613-6810
eISSN
1613-6829
DOI
10.1002/smll.202105070
Publisher site
See Article on Publisher Site

Abstract

One of the important steps for realizing artificial intelligence is identifying elementary units that are beneficial for neural network construction. A type of memristive behavior in which phase‐change nanoclusters nucleate adaptively in two adjacent dielectric layers with distinct distribution patterns is demonstrated. This memristive system responds in potentiation to increased stimulation strength and fire action potential after threshold stimulation. Reversible nucleation of phase‐change nanoclusters is confirmed after both in situ and ex situ examinations using high‐resolution transmission electron microscopy. The dynamics at the nanoscale level dominates the actions of the two dielectric layers. The oscillation response over a long period is due to the competition between crystalline and amorphous phases in the layer near the bottom electrode. Weight mutation, that is, action potential firing, is caused by the blockage of the filament in the layer near the top electrode. The memristive system is compact and able to execute complicated functions of a complete neuron and performs an important role in neuromorphic computing.

Journal

SmallWiley

Published: Mar 1, 2022

Keywords: memristive behavior; nanoclusters; nucleation dynamics; phase change

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