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Record W2394649227 · doi:10.1109/jssc.2016.2545703

A <inline-formula> <tex-math notation="LaTeX">$3\times 60\;\text{Gb/s}$</tex-math> </inline-formula> Transmitter/Repeater Front-End With <inline-formula> <tex-math notation="LaTeX">$4.3\;{\rm V}_{\rm PP}$</tex-math> </inline-formula> Single-Ended Output Swing in a 28nm UTBB FD-SOI Technology

2016· article· en· W2394649227 on OpenAlexaff
Stefan Shopov, Sorin P. Voinigescu

Bibliographic record

VenueIEEE Journal of Solid-State Circuits · 2016
Typearticle
Languageen
FieldEngineering
TopicPhotonic and Optical Devices
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCMOSTransimpedance amplifierInverterSwingElectrical engineeringTransmitterRepeater (horology)VoltageAmplifierSensitivity (control systems)Electronic engineeringEngineeringPhysicsMathematicsOperational amplifierAcousticsChannel (broadcasting)

Abstract

fetched live from OpenAlex

A versatile three-lane transmitter/repeater array was designed and manufactured in a production 28nm ultra-thin body and BOX (UTBB) FD-SOI CMOS technology. Each lane in the array can operate at 60 Gb/s with adjustable output swing between 2.6 and 4.3 Vpp with a measured input sensitivity of 10 mVpp at 40 Gb/s, and requires at least 40mVpp input signal level to fully saturate the output driver for maximum swing operation at 60 Gb/s. Scaled, cascaded single-ended CMOS inverter transimpedance amplifiers with resistive and inductive feedback and interstage series inductive peaking were used to form the preamplifiers of each lane. These were optimized for maximum bandwidth and large gain, and drive the >4Vpp swing series-stacked cascoded CMOS inverter output stage. The single-ended CMOS-inverter topologies ensure that the total power consumption scales with the data rate and reduce the lane footprint to that of a ground-signal pad I/O. The measured lane-to-lane isolation is better than 40 dB up to 55 GHz, while the measured Tx-toRx dynamic range, defined as the ratio of the maximum output swing and corresponding minimum input voltage and sensitivity, is larger than 54 dB up to 40 Gb/s.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.603
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0070.006
Meta-epidemiology (broad)0.0090.003
Bibliometrics0.0060.005
Science and technology studies0.0020.002
Scholarly communication0.0020.009
Open science0.0060.001
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0010.002

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 head0.014
GPT teacher head0.231
Teacher spread0.217 · 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; both teacher heads agree on what is shown here.

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

Citations31
Published2016
Admission routes1
Has abstractyes

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