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Record W2242780023 · doi:10.1049/iet-cds.2014.0185

Integrated charge pumps: a generalised method for power efficiency optimisation

2015· article· en· W2242780023 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIET Circuits Devices & Systems · 2015
Typearticle
Languageen
FieldEngineering
TopicInnovative Energy Harvesting Technologies
Canadian institutionsUniversity of Guelph
FundersMicron Foundation
KeywordsConvertersInductorCharge pumpElectronic engineeringElectronic circuitPower (physics)Buck converterVoltagePower factorElectrical engineeringEngineeringComponent (thermodynamics)Computer scienceCapacitorPhysics

Abstract

fetched live from OpenAlex

Charge pumps (CPs) represent the most common solution for the implementation of fully integrated DC–DC converters. In fact, as opposed to buck/boost DC–DC converters, that need at least an external inductor, charge pump circuits do not require any external component. However, the achievable power efficiency of these circuits is typically significantly lower than power efficiency of buck/boost DC–DC converters. In this study, we develop a general mathematical model of CPs, aiming to provide basic design considerations for power efficiency optimisation. A quality factor for achievable power efficiency is proposed together with guidelines for the design of efficiency‐optimised CPs under the constraint of given output voltage and current values.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.795
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.049
GPT teacher head0.277
Teacher spread0.228 · 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