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Record W4256560532 · doi:10.1002/mop.22920

Characterization of on‐chip miniature multilayer spiral inductors for RFICS

2007· article· en· W4256560532 on OpenAlexaff
Jianyong Xie, Wen‐Yan Yin, Jinglin Shi, Kai Kang, Zhizhang Chen

Bibliographic record

VenueMicrowave and Optical Technology Letters · 2007
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsDalhousie University
Fundersnot available
KeywordsInductorInductanceEquivalent series inductanceSpiral (railway)MicrowaveEquivalent series resistanceElectrical engineeringCMOSEquivalent circuitElectronic engineeringSkin effectEngineeringMaterials scienceMechanical engineeringTelecommunicationsVoltage

Abstract

fetched live from OpenAlex

Abstract Several existing closed‐form equations for calculating DC inductance and resistance of single‐spiral inductors are examined at first, and the most accurate formula is chosen for characterizing the DC inductance of multilayer spiral inductors. The partial element equivalent circuit (PEEC) method is implemented for computing their frequency‐dependent (AC) resistance and inductance. To validate our calculated results, we designed and fabricated some multilayer spiral inductors using standard 0.18 μm CMOS technology. The on‐chip measurements are carried out so as to obtain two‐port S‐parameters of these inductors. Excellent agreements are obtained between the calculated and experimental results, which include DC and low‐frequency inductances of three‐, four‐, and fiver‐layer spiral inductors, respectively. © 2007 Wiley Periodicals, Inc. Microwave Opt Technol Lett 49: 3180–3184, 2007; Published online in Wiley InterScience (www.interscience.wiley.com).DOI 10.1002/mop.22920

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.622

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.215
Teacher spread0.204 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2007
Admission routes1
Has abstractyes

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