Threshold-Variation-Tolerant Coupling-Gate alpha-IGZO Synaptic Transistor for More Reliably Controllable Hardware Neuromorphic System
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kang, Dongyeon | - |
dc.contributor.author | Jang, Jun Tae | - |
dc.contributor.author | Park, Shinyoung | - |
dc.contributor.author | Ansari, M.H.R. | - |
dc.contributor.author | Bae, Jong-Ho | - |
dc.contributor.author | Choi, Sung-Jin | - |
dc.contributor.author | Kim, Dong Myong | - |
dc.contributor.author | Kim, Changwook | - |
dc.contributor.author | Cho, Seongjae | - |
dc.contributor.author | Kim, Dae Hwan | - |
dc.date.available | 2021-04-30T00:35:26Z | - |
dc.date.created | 2021-04-26 | - |
dc.date.issued | 2021-04 | - |
dc.identifier.issn | 2169-3536 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/80871 | - |
dc.description.abstract | Hardware-oriented neuromorphic computing is gaining great deal of interest for highly parallel data processing and superb energy efficiency, as the candidate for replacement of conventional von Neumann computing. In this work, a novel synaptic transistor constructing the neuromorphic system is proposed, fabricated, and characterized. Amorphous indium-gallium-zinc-oxide (α-IGZO) and Al2O3 are introduced as the channel and gate dielectric materials, respectively. Along with the high functionality and low-temperature processing viability, geometric peculiarity featuring extended gate structure improves the performances of the proposed transistor as synaptic component in the neuromorphic system. The insight into the substantial effect of optimal device structure design on energy efficiency is highlighted. CCBYNCND | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.relation.isPartOf | IEEE Access | - |
dc.title | Threshold-Variation-Tolerant Coupling-Gate alpha-IGZO Synaptic Transistor for More Reliably Controllable Hardware Neuromorphic System | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000642758400001 | - |
dc.identifier.doi | 10.1109/ACCESS.2021.3072688 | - |
dc.identifier.bibliographicCitation | IEEE Access, v.9, pp.59345 - 59352 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.scopusid | 2-s2.0-85104252068 | - |
dc.citation.endPage | 59352 | - |
dc.citation.startPage | 59345 | - |
dc.citation.title | IEEE Access | - |
dc.citation.volume | 9 | - |
dc.contributor.affiliatedAuthor | Cho, Seongjae | - |
dc.type.docType | Article in Press | - |
dc.subject.keywordAuthor | amorphous indium-gallium-zinc-oxide | - |
dc.subject.keywordAuthor | Biology | - |
dc.subject.keywordAuthor | device structure design | - |
dc.subject.keywordAuthor | energy efficiency | - |
dc.subject.keywordAuthor | extended gate | - |
dc.subject.keywordAuthor | Hardware-oriented neuromorphic computing | - |
dc.subject.keywordAuthor | Ions | - |
dc.subject.keywordAuthor | Layout | - |
dc.subject.keywordAuthor | Logic gates | - |
dc.subject.keywordAuthor | Neurons | - |
dc.subject.keywordAuthor | parallel data processing | - |
dc.subject.keywordAuthor | Synapses | - |
dc.subject.keywordAuthor | synaptic transistor | - |
dc.subject.keywordAuthor | Transistors | - |
dc.subject.keywordPlus | Alumina | - |
dc.subject.keywordPlus | Aluminum oxide | - |
dc.subject.keywordPlus | Data handling | - |
dc.subject.keywordPlus | Energy efficiency | - |
dc.subject.keywordPlus | Gallium compounds | - |
dc.subject.keywordPlus | Gate dielectrics | - |
dc.subject.keywordPlus | Green computing | - |
dc.subject.keywordPlus | II-VI semiconductors | - |
dc.subject.keywordPlus | Semiconducting indium compounds | - |
dc.subject.keywordPlus | Structural optimization | - |
dc.subject.keywordPlus | Temperature | - |
dc.subject.keywordPlus | Zinc oxide | - |
dc.subject.keywordPlus | Amorphous-indium gallium zinc oxides | - |
dc.subject.keywordPlus | Highly parallels | - |
dc.subject.keywordPlus | Low temperature processing | - |
dc.subject.keywordPlus | Neumann computing | - |
dc.subject.keywordPlus | Neuromorphic computing | - |
dc.subject.keywordPlus | Neuromorphic systems | - |
dc.subject.keywordPlus | Optimal devices | - |
dc.subject.keywordPlus | Structure design | - |
dc.subject.keywordPlus | Dielectric materials | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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