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Record W4401879108 · doi:10.1109/jeds.2024.3449798

Impact of the Scaling of LGS and LG on the On-State Breakdown Voltage of InAlN/GaN HFETs With Localized Fin Under the Gate Electrode

2024· article· en· W4401879108 on OpenAlexaff
Yatexu Patel, Pouya Valizadeh

Bibliographic record

VenueIEEE Journal of the Electron Devices Society · 2024
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGaN-based semiconductor devices and materials
Canadian institutionsConcordia University
Fundersnot available
KeywordsScalingMaterials scienceElectrodeOptoelectronicsFinBreakdown voltageVoltageCondensed matter physicsElectrical engineeringPhysicsEngineeringMathematics

Abstract

fetched live from OpenAlex

In this manuscript, we have investigated the impact of the scaling of the gate-source length (LGS) and gate length (LG) on the on-state breakdown voltage (BVon) of metallic-face InAlN/AlN/GaN heterostructure field effect transistors (HFETs) having fin structures only under the gate and those having them stretched from source to drain. The results show that the downscaling of LGS and LG augments the electron velocity in the source-access region. Due to current conservation, the higher carrier velocity in the source-access region for the devices having shorter LGS and LG induces a higher electron density under the gated-channel. From what is theoretically observed, the presence of higher electron density close to the boundary with the velocity saturation region at the drain edge of the gate in devices having shorter LGS and LG does seem to initiate the device breakdown at lower drain voltages, leading to the deterioration of the on-state breakdown voltage.

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 categoriesnone
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 score0.014
Threshold uncertainty score0.364

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.010
GPT teacher head0.260
Teacher spread0.250 · 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

Citations2
Published2024
Admission routes1
Has abstractyes

Explore more

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