MétaCan
Menu
Back to cohort
Record W4414508179 · doi:10.2172/2566596

Wide Bandgap Solid State Circuit Breakers for AC and DC Microgrids

2023· report· en· W4414508179 on OpenAlexaff
Ian Brown, Z. John Shen, Rakesh Lal, Geetak Gupta

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEngineering
TopicHVDC Systems and Fault Protection
Canadian institutionsSimon Fraser University
FundersAdvanced Research Projects AgencyAdvanced Research Projects Agency - EnergyU.S. Department of Energy
KeywordsCircuit breakerSolid-stateReduction (mathematics)Power (physics)Band gapState (computer science)Wide-bandgap semiconductor

Abstract

fetched live from OpenAlex

The objective of the project is to develop a new class of ultrafast, self-powered, programmable, autonomously operated, bidirectional solid state circuit breakers (SSCBs) using wide band gap (WBG) semiconductors with 1000X reduction in response time and 5X reduction in cost in comparison to commercial mechanical circuit breakers. In particular, we have developed two SSCB prototypes of 380VDC/220VAC/20A and 1000VDC/10A using GaN power switches for common distribution-level AC and DC voltages.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

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)0.0030.001

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 head0.060
GPT teacher head0.302
Teacher spread0.242 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2023
Admission routes1
Has abstractyes

Explore more

Same topicHVDC Systems and Fault ProtectionFrench-language works237,207