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Record W3190058841 · doi:10.1088/1361-6641/ac1963

A dual-gate and Γ-type field plate GaN base E-HEMT with high breakdown voltage on simulation investigation

2021· article· en· W3190058841 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

VenueSemiconductor Science and Technology · 2021
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGaN-based semiconductor devices and materials
Canadian institutionsInstitute of Aging
Fundersnot available
KeywordsHigh-electron-mobility transistorOptoelectronicsBreakdown voltageMaterials scienceDual (grammatical number)VoltageElectrical engineeringTransistorEngineering

Abstract

fetched live from OpenAlex

Abstract This paper proposes to insert a buried P-type gate (BPT gate) under the channel layer of the recessed MIS-high electron mobility transistor (HEMT) to form a dual-gate HEMT. And through simulation calculation, the device performance is calculated and the working mechanism of the BPT gate is explained in detail. Compared with a conventional AlGaN/AlN/GaN HEMT and a gate-recessed MIS-HEMT, the dual-gate HEMT has a higher breakdown voltage (1126 V) and a larger threshold voltage (1.5 V). The results show that inserting a BPT gate in a gate-recessed MIS-HEMT can increase the threshold voltage and improve the breakdown characteristics. Through the optimization of the device structure, it is found that the combination of the MIS-gate and the Γ-type field plate based on the dual-gate device can obtain a higher breakdown voltage. Its breakdown voltage can reach 3041 V, and the figure of merit is as high as 3.56 GW cm −2 . This reveals that the combination of dual-gate and Γ-type field plate has great potential in the manufacture of enhancement-mode and high-voltage power transistors.

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)0.000
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 score0.013
Threshold uncertainty score0.566

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.012
GPT teacher head0.240
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