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Physics-Based Compact Model for GaN-Based Non-linear Transmission Line Resistors

2024· article· en· W4404295281 on OpenAlexaff
Johan Alant, Ryan Fang, Yuxuan Zhang, Pilsoon Choi, Yijing Feng, Jessica X. Chong, Zev Pogrebin, Bin Lü, Ujwal Radhakrishna, Lan Wei

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGaN-based semiconductor devices and materials
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsResistorTransmission lineLine (geometry)Electric power transmissionElectronic engineeringTransmission (telecommunications)Computer scienceOptoelectronicsPhysicsMaterials scienceElectrical engineeringMathematicsEngineeringTelecommunicationsVoltage

Abstract

fetched live from OpenAlex

This paper presents a novel, comprehensive physics-based model for capturing non-ideal effects in GaN transmission line resistors for use in monolithic GaN integrated circuits. The model captures the important effects of non-linear resistance, including current saturation, self-heating and thermal coupling, and charge trapping, and is closely related to the industry-standard MVSG GaN HEMT Compact Model. Good agreement with measurement is achieved, validating the model and demonstrating scalability with bias, device dimensions and temperature. The results are applied to a simple power amplifier circuit to demonstrate the necessity of adopting an accurate non-linear resistor model in practical circuit design.

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)0.000
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.879
Threshold uncertainty score0.919

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.037
GPT teacher head0.302
Teacher spread0.265 · 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 designSimulation or modeling
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

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