MétaCan
Menu
Back to cohort
Record W2055180292 · doi:10.1143/jjap.39.5039

Room-Temperature Mid-Infrared Light-Emitting Diodes from Liquid-Phase Epitaxial InAs/InAs<sub>0.89</sub>Sb<sub>0.11</sub>/InAs<sub>0.80</sub>P<sub>0.12</sub>Sb<sub>0.08</sub> Heterostructures

2000· article· en· W2055180292 on OpenAlexaff
Xiu Ying Gong, Hirofumi Kan, Takamitsu Makino, Takefumi Iida, Kenzo Watanabe, Yu Gao, Mitsuru Aoyama, N. L. Rowell, Tomuo Yamaguchi

Bibliographic record

VenueJapanese Journal of Applied Physics · 2000
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSemiconductor Quantum Structures and Devices
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsDiodeEpitaxyOptoelectronicsLight-emitting diodeMaterials scienceDuty cycleHeterojunctionInfraredAtmospheric temperature rangeFourier transform infrared spectroscopyOpticsVoltageNanotechnologyPhysics

Abstract

fetched live from OpenAlex

Light-emitting diodes (LEDs) in the 3 to 5 µm wavelength range have been fabricated from InAs/InAsSb/InAsPSb heterostructures grown by liquid-phase epitaxy (LPE) between 520 and 500°C. Temperature dependence of the performance for the LEDs was studied using a Fourier transform infrared (FTIR) measurement system with double modulation. Room-temperature operation of LEDs was realized. Under a peak current of 5 A (2% duty cycle), the output powers of the diodes were between 150 and 500 µW indicating their potential applications for CO2 and CO gas sensors.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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 head0.008
GPT teacher head0.230
Teacher spread0.222 · 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 source (direct Gemma or distilled Codex), 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

Citations17
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueJapanese Journal of Applied PhysicsSame topicSemiconductor Quantum Structures and DevicesFrench-language works237,207