Synaptic memory devices from CoO/Nb:SrTiO3 junction

Non-volatile memristors are promising for future hardware-based neurocomputation application because they are capable of emulating biological synaptic functions. Various material strategies have been studied to pursue better device performance, such as lower energy cost, better biological plausibili...

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Main Authors: Le Zhao, Jie Xu, Xiantao Shang, Xue Li, Qiang Li, Shandong Li
Format: Article
Language:English
Published: The Royal Society 2019-04-01
Series:Royal Society Open Science
Subjects:
Online Access:https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.181098
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spelling doaj-2159312658d74885865efc0912f57dfc2020-11-25T04:10:00ZengThe Royal SocietyRoyal Society Open Science2054-57032019-04-016410.1098/rsos.181098181098Synaptic memory devices from CoO/Nb:SrTiO3 junctionLe ZhaoJie XuXiantao ShangXue LiQiang LiShandong LiNon-volatile memristors are promising for future hardware-based neurocomputation application because they are capable of emulating biological synaptic functions. Various material strategies have been studied to pursue better device performance, such as lower energy cost, better biological plausibility, etc. In this work, we show a novel design for non-volatile memristor based on CoO/Nb:SrTiO3 heterojunction. We found the memristor intrinsically exhibited resistivity switching behaviours, which can be ascribed to the migration of oxygen vacancies and charge trapping and detrapping at the heterojunction interface. The carrier trapping/detrapping level can be finely adjusted by regulating voltage amplitudes. Gradual conductance modulation can therefore be realized by using proper voltage pulse stimulations. And the spike-timing-dependent plasticity, an important Hebbian learning rule, has been implemented in the device. Our results indicate the possibility of achieving artificial synapses with CoO/Nb:SrTiO3 heterojunction. Compared with filamentary type of the synaptic device, our device has the potential to reduce energy consumption, realize large-scale neuromorphic system and work more reliably, since no structural distortion occurs.https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.181098synaptic devicenon-volatile memristorconductance modulationspike-timing-dependent plasticity
collection DOAJ
language English
format Article
sources DOAJ
author Le Zhao
Jie Xu
Xiantao Shang
Xue Li
Qiang Li
Shandong Li
spellingShingle Le Zhao
Jie Xu
Xiantao Shang
Xue Li
Qiang Li
Shandong Li
Synaptic memory devices from CoO/Nb:SrTiO3 junction
Royal Society Open Science
synaptic device
non-volatile memristor
conductance modulation
spike-timing-dependent plasticity
author_facet Le Zhao
Jie Xu
Xiantao Shang
Xue Li
Qiang Li
Shandong Li
author_sort Le Zhao
title Synaptic memory devices from CoO/Nb:SrTiO3 junction
title_short Synaptic memory devices from CoO/Nb:SrTiO3 junction
title_full Synaptic memory devices from CoO/Nb:SrTiO3 junction
title_fullStr Synaptic memory devices from CoO/Nb:SrTiO3 junction
title_full_unstemmed Synaptic memory devices from CoO/Nb:SrTiO3 junction
title_sort synaptic memory devices from coo/nb:srtio3 junction
publisher The Royal Society
series Royal Society Open Science
issn 2054-5703
publishDate 2019-04-01
description Non-volatile memristors are promising for future hardware-based neurocomputation application because they are capable of emulating biological synaptic functions. Various material strategies have been studied to pursue better device performance, such as lower energy cost, better biological plausibility, etc. In this work, we show a novel design for non-volatile memristor based on CoO/Nb:SrTiO3 heterojunction. We found the memristor intrinsically exhibited resistivity switching behaviours, which can be ascribed to the migration of oxygen vacancies and charge trapping and detrapping at the heterojunction interface. The carrier trapping/detrapping level can be finely adjusted by regulating voltage amplitudes. Gradual conductance modulation can therefore be realized by using proper voltage pulse stimulations. And the spike-timing-dependent plasticity, an important Hebbian learning rule, has been implemented in the device. Our results indicate the possibility of achieving artificial synapses with CoO/Nb:SrTiO3 heterojunction. Compared with filamentary type of the synaptic device, our device has the potential to reduce energy consumption, realize large-scale neuromorphic system and work more reliably, since no structural distortion occurs.
topic synaptic device
non-volatile memristor
conductance modulation
spike-timing-dependent plasticity
url https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.181098
work_keys_str_mv AT lezhao synapticmemorydevicesfromcoonbsrtio3junction
AT jiexu synapticmemorydevicesfromcoonbsrtio3junction
AT xiantaoshang synapticmemorydevicesfromcoonbsrtio3junction
AT xueli synapticmemorydevicesfromcoonbsrtio3junction
AT qiangli synapticmemorydevicesfromcoonbsrtio3junction
AT shandongli synapticmemorydevicesfromcoonbsrtio3junction
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