Hardware Implementation of Network Connectivity Relationships Using 2D hBN‐Based Artificial Neuron and Synaptic Devices (Adv. Funct. Mater. 10/2024)

Synaptic Devices In article number 2309058, Joon Young Kwak and co‐workers fabricate both volatile and nonvolatile memristors based on 2D hexagonal boron nitride (hBN) and the leaky integrate‐and‐fire (LIF) neuron and synaptic functions are demonstrated, respectively. They perform a neural network c...

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Veröffentlicht in:Advanced functional materials 2024-03, Vol.34 (10), p.n/a
Hauptverfasser: Jo, Yooyeon, Woo, Dong Yeon, Noh, Gichang, Park, Eunpyo, Kim, Min Jee, Sung, Yong Woo, Lee, Dae Kyu, Park, Jongkil, Kim, Jaewook, Jeong, YeonJoo, Lee, Suyoun, Kim, Inho, Park, Jong‐Keuk, Park, Seongsik, Kwak, Joon Young
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Sprache:eng
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Zusammenfassung:Synaptic Devices In article number 2309058, Joon Young Kwak and co‐workers fabricate both volatile and nonvolatile memristors based on 2D hexagonal boron nitride (hBN) and the leaky integrate‐and‐fire (LIF) neuron and synaptic functions are demonstrated, respectively. They perform a neural network connectivity study using 2D hBN‐based artificial neuromorphic devices in hardware. This study provides a new approach to validate emerging materials‐based neuromorphic devices for scaling to large‐scale neural networks.
ISSN:1616-301X
1616-3028
DOI:10.1002/adfm.202470058