Achievement of Gradual Conductance Characteristics Based on Interfacial Phase-Change Memory for Artificial Synapse Applications

In this paper, gradual and symmetrical long-term potentiation (LTP) and long-term depression (LTD) were achieved by applying the optimal electrical pulse condition of the interfacial phase-change memory (iPCM) based on a superlattice (SL) structure fabricated by stacking GeTe/Sb<sub>2</sub&...

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Main Authors: Shinyoung Kang, Juyoung Lee, Myounggon Kang, Yunheub Song
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/9/8/1268
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author Shinyoung Kang
Juyoung Lee
Myounggon Kang
Yunheub Song
author_facet Shinyoung Kang
Juyoung Lee
Myounggon Kang
Yunheub Song
author_sort Shinyoung Kang
collection DOAJ
description In this paper, gradual and symmetrical long-term potentiation (LTP) and long-term depression (LTD) were achieved by applying the optimal electrical pulse condition of the interfacial phase-change memory (iPCM) based on a superlattice (SL) structure fabricated by stacking GeTe/Sb<sub>2</sub>Te<sub>3</sub> alternately to implement an artificial synapse in neuromorphic computing. Furthermore, conventional phase-change random access memory (PCRAM) based on a Ge–Sb–Te (GST) alloy with an identical bottom electrode contact size was fabricated to compare the electrical characteristics. The results showed a reduction in the reset energy consumption of the GeTe/Sb<sub>2</sub>Te<sub>3</sub> (GT/ST) iPCM by more than 69% of the GST alloy for each bottom electrode contact size. Additionally, the GT/ST iPCM achieved gradual conductance tuning and 90.6% symmetry between LTP and LTD with a relatively unsophisticated pulse scheme. Based on the above results, GT/ST iPCM is anticipated to be exploitable as a synaptic device used for brain-inspired computing and to be utilized for next-generation non-volatile memory.
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spelling doaj.art-ccd8dcc95e1e4e238732f54f618943bf2023-11-20T09:25:16ZengMDPI AGElectronics2079-92922020-08-0198126810.3390/electronics9081268Achievement of Gradual Conductance Characteristics Based on Interfacial Phase-Change Memory for Artificial Synapse ApplicationsShinyoung Kang0Juyoung Lee1Myounggon Kang2Yunheub Song3Department of Electronic Engineering, Hanyang University, Seoul 04763, KoreaDepartment of Nanoscale Semiconductor Engineering, Hanyang University, Seoul 04763, KoreaDepartment of Electronics Engineering, Korea National University of Transportation, 50 Daehak-ro, Chungju-si, Chungbuk 380-702, KoreaDepartment of Electronic Engineering, Hanyang University, Seoul 04763, KoreaIn this paper, gradual and symmetrical long-term potentiation (LTP) and long-term depression (LTD) were achieved by applying the optimal electrical pulse condition of the interfacial phase-change memory (iPCM) based on a superlattice (SL) structure fabricated by stacking GeTe/Sb<sub>2</sub>Te<sub>3</sub> alternately to implement an artificial synapse in neuromorphic computing. Furthermore, conventional phase-change random access memory (PCRAM) based on a Ge–Sb–Te (GST) alloy with an identical bottom electrode contact size was fabricated to compare the electrical characteristics. The results showed a reduction in the reset energy consumption of the GeTe/Sb<sub>2</sub>Te<sub>3</sub> (GT/ST) iPCM by more than 69% of the GST alloy for each bottom electrode contact size. Additionally, the GT/ST iPCM achieved gradual conductance tuning and 90.6% symmetry between LTP and LTD with a relatively unsophisticated pulse scheme. Based on the above results, GT/ST iPCM is anticipated to be exploitable as a synaptic device used for brain-inspired computing and to be utilized for next-generation non-volatile memory.https://www.mdpi.com/2079-9292/9/8/1268interfacial phase-change memoryphase-change memoryartificial synaptic devicesuperlatticeneuromorphic devices
spellingShingle Shinyoung Kang
Juyoung Lee
Myounggon Kang
Yunheub Song
Achievement of Gradual Conductance Characteristics Based on Interfacial Phase-Change Memory for Artificial Synapse Applications
Electronics
interfacial phase-change memory
phase-change memory
artificial synaptic device
superlattice
neuromorphic devices
title Achievement of Gradual Conductance Characteristics Based on Interfacial Phase-Change Memory for Artificial Synapse Applications
title_full Achievement of Gradual Conductance Characteristics Based on Interfacial Phase-Change Memory for Artificial Synapse Applications
title_fullStr Achievement of Gradual Conductance Characteristics Based on Interfacial Phase-Change Memory for Artificial Synapse Applications
title_full_unstemmed Achievement of Gradual Conductance Characteristics Based on Interfacial Phase-Change Memory for Artificial Synapse Applications
title_short Achievement of Gradual Conductance Characteristics Based on Interfacial Phase-Change Memory for Artificial Synapse Applications
title_sort achievement of gradual conductance characteristics based on interfacial phase change memory for artificial synapse applications
topic interfacial phase-change memory
phase-change memory
artificial synaptic device
superlattice
neuromorphic devices
url https://www.mdpi.com/2079-9292/9/8/1268
work_keys_str_mv AT shinyoungkang achievementofgradualconductancecharacteristicsbasedoninterfacialphasechangememoryforartificialsynapseapplications
AT juyounglee achievementofgradualconductancecharacteristicsbasedoninterfacialphasechangememoryforartificialsynapseapplications
AT myounggonkang achievementofgradualconductancecharacteristicsbasedoninterfacialphasechangememoryforartificialsynapseapplications
AT yunheubsong achievementofgradualconductancecharacteristicsbasedoninterfacialphasechangememoryforartificialsynapseapplications