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Record W2000927575 · doi:10.1109/newcas.2014.6934035

Electrostatic discharge protection for a 10 GHz low noise amplifier

2014· article· en· W2000927575 on OpenAlexaff
Wilson J. Bortoletto Machado, Calvin Plett

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectrostatic Discharge in Electronics
Canadian institutionsCarleton University
Fundersnot available
KeywordsElectrostatic dischargeHuman-body modelAmplifierLow-noise amplifierElectrical engineeringDiodeInductorEngineeringElectronic engineeringCMOSVoltage

Abstract

fetched live from OpenAlex

Two 10-GHz LNAs, one with ESD protection and another without ESD protection were designed and implemented in 0.13 μm RFCMOS technology. The ESD protection used encompasses PI topology ESD protection, comprising the primary ESD protection diodes, LNA gate inductor and secondary ESD protection diodes, and RC-triggered MOSFET power clamps. The desired level of ESD protection for the LNA was 2 KV for the Human Body Model (HBM). Measured results of the LNAs showed that both have similar performance, and the ESD test results showed that an ESD protection higher than 2 KV can be achieved. The LNA with ESD protection passed a 2 KV ESD stress without showing leakage and degradation of the S-parameters and noise figure, demonstrating that degradation of RF parameters can be minimized by choosing the appropriate ESD protection and by taking it into account early in the design process.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.909
Threshold uncertainty score0.993

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 head0.006
GPT teacher head0.207
Teacher spread0.200 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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