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Multi-band machine-learning framework for reliable 5–30 GHz LC-DCO synthesis in 22-nm FDSOI.

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Title: Multi-band machine-learning framework for reliable 5–30 GHz LC-DCO synthesis in 22-nm FDSOI.
Authors: Tsimpou, Panagiota1, ptsimpou@physics.auth.gr, Michailidis, Anastasios1,2, Noulis, Thomas1,2
Source: Integration: The VLSI Journal; Jul2026, Vol. 109, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 194605774
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Multi-band machine-learning framework for reliable 5–30 GHz LC-DCO synthesis in 22-nm FDSOI.
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  Data: <searchLink fieldCode="JN" term="%22Integration%3A+The+VLSI+Journal%22">Integration: The VLSI Journal</searchLink>; Jul2026, Vol. 109, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=194605774
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1016/j.vlsi.2026.102754
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      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
    Titles:
      – TitleFull: Multi-band machine-learning framework for reliable 5–30 GHz LC-DCO synthesis in 22-nm FDSOI.
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            NameFull: Tsimpou, Panagiota
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            NameFull: Michailidis, Anastasios
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            NameFull: Noulis, Thomas
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            – D: 01
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              Text: Jul2026
              Type: published
              Y: 2026
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              Value: 109
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            – TitleFull: Integration: The VLSI Journal
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