Two-Terminal Lithium-Mediated Artificial Synapses with Enhanced Weight Modulation for Feasible Hardware Neural Networks
Autor: | Ji Hyun Baek, Kyung Ju Kwak, Seung Ju Kim, Jaehyun Kim, Jae Young Kim, In Hyuk Im, Sunyoung Lee, Kisuk Kang, Ho Won Jang |
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Jazyk: | angličtina |
Rok vydání: | 2023 |
Předmět: | |
Zdroj: | Nano-Micro Letters, Vol 15, Iss 1, Pp 1-18 (2023) |
Druh dokumentu: | article |
ISSN: | 2311-6706 2150-5551 |
DOI: | 10.1007/s40820-023-01035-3 |
Popis: | Highlights The Li-mediated artificial synapses with a vertical two-terminal configuration capable of various synaptic behaviors, including bio-plausible synaptic plasticity, were successfully demonstrated for the first time and thoroughly explored Synaptic characteristics based on the progressive dearth of Li in Li x Co2 films are precisely controlled over the weight control spike, achieving extraordinary weight control functionality. In artificial neural network simulation, Li x CoO2-based neuromorphic system showed excellent accuracy comparable to the theoretical maximum due to the low nonlinearity and programming error, suggesting feasibility of hardware neural network implementation. |
Databáze: | Directory of Open Access Journals |
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