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Record W4405739317 · doi:10.1364/jsapo.2024.18p_b2_5

Temperature Dependence Analysis for β-Ga2O3 Studied by Terahertz Time-Domain Spectroscopy

2024· article· en· W4405739317 on OpenAlex
Shuang Liu, Verdad C. Agulto, Toshiyuki Iwamoto, Kosaku Kato, Hisashi Murakami, Yoshinao Kumagai, Masashi Yoshimura, Makoto Nakajima

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

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicGa2O3 and related materials
Canadian institutionsMD Precision (Canada)
Fundersnot available
KeywordsTerahertz radiationTerahertz time-domain spectroscopySpectroscopyMaterials scienceTerahertz spectroscopy and technologyTime domainOptoelectronicsDomain (mathematical analysis)PhysicsNuclear magnetic resonanceComputer scienceMathematicsQuantum mechanics

Abstract

fetched live from OpenAlex

In recent years, beta-gallium oxide ( β -Ga 2 O 3 ) has attracted attention as an emerging ultrawide-bandgap semiconductor material. For β -Ga 2 O 3 semiconductor application, it requires a thorough study of its temperature dependence to determine its performance under multiple temperature environments. THz-TDS is a powerful technique [1-5] for accurately measuring the refractive index of semiconductors. By analyzing the transmitted THz field, we can calculate the refractive index of the sample in the THz region. Subsequently, the obtained data can be fitted with the Drude-Lorentz model to analyze the transport properties of the material. This study aims to provide valuable insights into the study of β -Ga 2 O 3 , which is essential for advancing its application prospects in various fields.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.035
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.001

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 head0.006
GPT teacher head0.258
Teacher spread0.251 · 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

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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