MétaCan
Menu
Back to cohort
Record W2157236685 · doi:10.1109/tns.2004.839105

Proton radiation damage at low temperature in GaAs and GaN light-emitting diodes

2004· article· en· W2157236685 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

VenueIEEE Transactions on Nuclear Science · 2004
Typearticle
Languageen
FieldEngineering
TopicSemiconductor materials and devices
Canadian institutionsInstitute for Microstructural SciencesUniversité de MontréalNational Research Council CanadaDefence Research and Development Canada
Fundersnot available
KeywordsMaterials scienceLight-emitting diodeGallium arsenideOptoelectronicsGallium nitrideDiodeRadiation damageIrradiationWide-bandgap semiconductorRadiation hardeningSpontaneous emissionRadiationQuantum efficiencyOpticsPhysicsComposite materialLaser

Abstract

fetched live from OpenAlex

It is shown that the radiation hardness for light emission in light-emitting diodes (LEDs) is substantially improved at low temperatures. This is demonstrated through measurements of light emission at room and low temperatures from amphoteric Si-doped gallium arsenide, gallium arsenide quantum well and gallium nitride quantum well LEDs following proton irradiation at room and low temperatures. The enhanced low-temperature radiation hardness for light emission in these LEDs is explained in terms of an improvement in radiative efficiency due to a reduction of nonradiative transition probability at low temperatures. Further, lattice displacement damage in these devices due to irradiation at room temperature is compared with the corresponding damage at low temperatures. Our results show that the amount of lattice damage is dependent on irradiation temperature.

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 score0.046
Threshold uncertainty score0.374

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)0.0000.000

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 head0.006
GPT teacher head0.204
Teacher spread0.198 · 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