MétaCan
Menu
Back to cohort
Record W4313622188 · doi:10.21203/rs.3.rs-2422905/v1

Optically Triggered AlGaN/GaN Semiconductor Power Transistor with Bi-layer Anti-reflecting Structure

2023· preprint· en· W4313622188 on OpenAlexaff
Suresh Kumar Pandey, Swati Rajput, Vishal Kaushik, Prem Babu, Rahul Dev Mishra, Mukesh Kumar

Bibliographic record

VenueResearch Square · 2023
Typepreprint
Languageen
FieldPhysics and Astronomy
TopicGaN-based semiconductor devices and materials
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMaterials scienceOptoelectronicsHeterojunctionSemiconductorTransistorBand gapElectronLayer (electronics)VoltageNanotechnologyElectrical engineeringPhysics

Abstract

fetched live from OpenAlex

Abstract An optical controlled AlGaN/GaN semiconductor power transistor with low on-resistance normally-off high electron mobility 2DEG channel is numerically proposed. The device consists of p-GaN region sandwiched between undoped GaN over which n-AlGaN (Al 20%) is formed. Two-Dimensional Electron Gas (2-DEG) channel is formed at n-AlGaN/GaN heterojunction due to photogenerated electron jumps from valance band to conduction band, when a beam of light having (energy greater than the band gap (3.4 eV) of GaN) wavelength 350 nm falls on SiO 2 and TiO 2 Bi-layers antireflecting structure and light penetrates deeper into p-GaN region and generate e-h pairs. Device current can be optically controlled by varying the power intensity of incident beam of light, this device exhibits very low (less than 1 ohm) on-resistance which yields very low conduction loss. The switching characteristics of the device is also investigated, and device attain low rise and fall time.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
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 score0.118
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.097
GPT teacher head0.390
Teacher spread0.293 · 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.

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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueResearch SquareSame topicGaN-based semiconductor devices and materialsFrench-language works237,207