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Record W2609142191 · doi:10.5515/kjkiees.2017.28.1.1

ETRI 0.25 μm GaN MMIC Process and X-Band Power Amplifier MMIC

2017· article· en· W2609142191 on OpenAlexaff
Sang‐Heung Lee, Seong‐Il Kim, Ho‐Kyun Ahn, Jongmin Lee, Dong‐Min Kang, Dong Yung Kim, Haecheon Kim, Byoung‐Gue Min, Hyung Sup Yoon, Kyu Jun Cho, Yoo Jin Jang, Ki Jun Lee, Jong‐Won Lim

Bibliographic record

VenueThe Journal of Korean Institute of Electromagnetic Engineering and Science · 2017
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGaN-based semiconductor devices and materials
Canadian institutionsRoyal Canadian Military Institute
FundersMinistry of Science, ICT and Future Planning
KeywordsMonolithic microwave integrated circuitAmplifierPower (physics)X bandOptoelectronicsGallium nitrideMaterials scienceElectrical engineeringElectronic engineeringEngineeringPhysicsNanotechnologyCMOS

Abstract

fetched live from OpenAlex

In this paper, ETRI’s 0.25 μm GaN MMIC process is introduced and the fabricated results of X-Band 3 W power amplifier MMIC are discussed. The one-stage X-Band 3 W power amplifier MMIC using the 0.25 μm GaN MMIC devices has been designed and fabricated. From the fabricated GaN MMIC, the characteristics of the 0.25 μm GaN MMIC process and devices are evaluated and analyzed. The X-band power amplifier MMIC shows output power of 3.5 W, gain of 10 dB, and power-added efficiency of 35 %.

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 score0.064
Threshold uncertainty score0.326

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.008
GPT teacher head0.238
Teacher spread0.230 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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