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Layer-Dependent Effects of Interfacial Phase-Change Memory for an Artificial Synapse
- Authors
- Kang, Shin-young; Jin, Soo-min; Lee, Ju-young; Woo, Dae-seong; Shim, Tae-hun; Nam, In-ho; Park, Jea-gun; Sutou, Yuji; Song, Yun-heub
- Issue Date
- Mar-2022
- Publisher
- Wiley - VCH Verlag GmbH & CO. KGaA
- Keywords
- artificial synapse; interfacial phase-change memory; neuromorphic computing; phase-change memory; superlattice
- Citation
- physica status solidi (RRL) - Rapid Research Letters, v.16, no.SI 9, pp 1 - 5
- Pages
- 5
- Indexed
- SCIE
SCOPUS
- Journal Title
- physica status solidi (RRL) - Rapid Research Letters
- Volume
- 16
- Number
- SI 9
- Start Page
- 1
- End Page
- 5
- ISSN
- 1862-6254
1862-6270
- Abstract
- Two-terminal-based artificial synapses have attracted attention because their electronic properties can be applied to next-generation computing. Herein, interfacial phase-change memory (iPCM) devices based on sputter-grown GeTe/Sb2Te3 are fabricated. The iPCM device exhibits excellent multilevel resistance switching via control of entropy by restricting the movement of Ge atoms. Based on this movement, the optimal pulse scheme and GeTe/Sb2Te3 layer are used to implement a tunable analog weight update of artificial synapses. The nonlinearity of 0.32 and 40 conductance states (GeTe/Sb2Te3)(16) iPCM is achieved for long-term potentiation and depression, respectively. This artificial synapse, which stably changes the gradual conductance value, has the potential for significant performance improvement of neuromorphic computing.
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Related Researcher
- Song, Yun Heub
- COLLEGE OF ENGINEERING (SCHOOL OF ELECTRONIC ENGINEERING)