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Impact of Strain on Sub-3 nm Gate-All-Around CMOS Logic Circuit Performance Using a Neural Compact Modeling Approach

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dc.contributor.authorLee, Ji Hwan-
dc.contributor.authorKim, Kihwan-
dc.contributor.authorRim, Kyungjin-
dc.contributor.authorChong, Soogine-
dc.contributor.authorCho, Hyunbo-
dc.contributor.authorOh, Saeroonter-
dc.date.accessioned2024-12-27T02:00:16Z-
dc.date.available2024-12-27T02:00:16Z-
dc.date.issued2024-09-
dc.identifier.issn2168-6734-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/121430-
dc.description.abstractImpact of strain of sub-3 nm gate-all-around (GAA) CMOS transistors on the circuit performance is evaluated using a neural compact model. The model was trained using 3D technology computer-aided design (TCAD) device simulation data of GAA field-effect transistors (FETs) subjected to both tensile and compressive strain in nMOS and pMOS devices. Strain was induced into the channel via lattice mismatch between the channel and source/drain epitaxial regions, as simulated by 3D TCAD process simulator. The transport models were calibrated against advanced Monte Carlo simulations to ensure accuracy. The resulting neural compact model demonstrated a close approximation to the original simulation results, achieving a minimal error of 1%. To assess the strain effect on circuit-level performance, SPICE simulations were conducted for a 5-stage ring oscillator and a 2-input NAND gate using the neural compact model. The propagation delay of the 5-stage ring oscillator improved from 3.60 ps to 2.85 ps when implementing strained GAA FETs. Also, strain enhanced the power-delay product of the 2-input NAND gate by 13.8% to 15.5%, depending on the input voltage sequence.-
dc.format.extent5-
dc.language영어-
dc.language.isoENG-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.titleImpact of Strain on Sub-3 nm Gate-All-Around CMOS Logic Circuit Performance Using a Neural Compact Modeling Approach-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1109/JEDS.2024.3459872-
dc.identifier.scopusid2-s2.0-85204247284-
dc.identifier.wosid001327422100004-
dc.identifier.bibliographicCitationIEEE Journal of the Electron Devices Society, v.12, pp 770 - 774-
dc.citation.titleIEEE Journal of the Electron Devices Society-
dc.citation.volume12-
dc.citation.startPage770-
dc.citation.endPage774-
dc.type.docTypeArticle-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.subject.keywordAuthorGallium arsenide-
dc.subject.keywordAuthorStrain-
dc.subject.keywordAuthorIntegrated circuit modeling-
dc.subject.keywordAuthorField effect transistors-
dc.subject.keywordAuthorLogic gates-
dc.subject.keywordAuthorVoltage-
dc.subject.keywordAuthorMOS devices-
dc.subject.keywordAuthorStrain engineering-
dc.subject.keywordAuthorgate-all-around CMOS-
dc.subject.keywordAuthorneural compact model-
dc.subject.keywordAuthorcircuit performance-
dc.identifier.urlhttps://ieeexplore.ieee.org/document/10680295-
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