DC Field | Value | Language |
---|---|---|
dc.contributor.author | PARK, MYUNGJOO | - |
dc.contributor.author | PARK, YOUNG JUN | - |
dc.contributor.author | LEE, JANG SIK | - |
dc.date.accessioned | 2020-07-21T02:50:03Z | - |
dc.date.available | 2020-07-21T02:50:03Z | - |
dc.date.created | 2020-04-08 | - |
dc.date.issued | 2020-02-25 | - |
dc.identifier.issn | 2637-6113 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/103904 | - |
dc.description.abstract | Brain-inspired neuromorphic computing is a revolutionary technology to create an intelligent and energy-efficient computing system. However, neuromorphic devices fabricated with complementary metal-oxide-semiconductor technology have a few drawbacks such as high energy consumption and circuit complexity. Also, such devices have different mechanisms compared to biological synapses, which transmit signals using ion dynamics. Here, we propose a three-terminal artificial synapse based on ion movement. The synapse uses solution-processed reduced graphene oxide (rGO) and ion-doped solid polymer electrolyte. The rGO-based artificial synapse shows synaptic behaviors including excitatory postsynaptic current and paired-pulse facilitation as short-term plasticity. The artificial synapse emulates the transition characteristics of a biological synapse from short-term to long-term plasticity depending on the amplitudes of the applied bias pulses. These results demonstrate the feasibility of using rGO and ion-doped solid electrolyte in construction of neuromorphic computing systems. | - |
dc.language | English | - |
dc.publisher | AMER CHEMICAL SOC | - |
dc.relation.isPartOf | Acs Applied Electronic Materials | - |
dc.title | Solution-Processed Multiterminal Artificial Synapses Based on Ion-Doped Solid Electrolytes | - |
dc.type | Article | - |
dc.identifier.doi | 10.1021/acsaelm.9b00788 | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | Acs Applied Electronic Materials, v.2, no.2, pp.339 - 345 | - |
dc.identifier.wosid | 000550584300006 | - |
dc.citation.endPage | 345 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 339 | - |
dc.citation.title | Acs Applied Electronic Materials | - |
dc.citation.volume | 2 | - |
dc.contributor.affiliatedAuthor | PARK, MYUNGJOO | - |
dc.contributor.affiliatedAuthor | PARK, YOUNG JUN | - |
dc.contributor.affiliatedAuthor | LEE, JANG SIK | - |
dc.identifier.scopusid | 2-s2.0-85097461255 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.type.docType | Article | - |
dc.subject.keywordPlus | REDUCED GRAPHENE OXIDE | - |
dc.subject.keywordPlus | ANION INTERCALATION | - |
dc.subject.keywordPlus | MEMORY | - |
dc.subject.keywordPlus | DEVICE | - |
dc.subject.keywordPlus | CARBON | - |
dc.subject.keywordPlus | LONG | - |
dc.subject.keywordPlus | TRANSPARENT | - |
dc.subject.keywordPlus | BIOLOGY | - |
dc.subject.keywordPlus | STORAGE | - |
dc.subject.keywordPlus | NETWORK | - |
dc.subject.keywordAuthor | reduced graphene oxide | - |
dc.subject.keywordAuthor | ion-doped electrolyte | - |
dc.subject.keywordAuthor | artificial synapse | - |
dc.subject.keywordAuthor | three-terminal devices | - |
dc.subject.keywordAuthor | neuromorphic computing | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Materials Science, Multidisciplinary | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Materials Science | - |
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