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Record W4379143473 · doi:10.1364/optcon.481902

Degree of polarization of luminescence from InP under SiN stripes: fits to FEM simulations

2023· article· en· W4379143473 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

VenueOptics Continuum · 2023
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSemiconductor Quantum Structures and Devices
Canadian institutionsMcMaster University
Fundersnot available
KeywordsLuminescenceFinite element methodPhotoluminescencePolarization (electrochemistry)Materials scienceDegree of polarizationOpticsDegree (music)Molecular physicsOptoelectronicsCondensed matter physicsPhysicsAcousticsChemistryThermodynamicsPhysical chemistry

Abstract

fetched live from OpenAlex

Fits of 3D finite element method (FEM) simulations to the degree of polarization (DOP) of photoluminescence (PL) measured on facets under SiN stripes on InP substrates are presented. The measured data is low noise and the fits are remarkably good; lobes owing to defects (perhaps dislocations) can be seen in false colour maps of the residues from the least squares fits. It is found that the vast majority (estimated to be > 99%) of the DOP patterns can be attributed to an initial condition for the FEM simulations of biaxial strain in the SiN stripes. In addition to the fits of FEM simulations to the data and discussion of the fits: fits of error functions to PL data to find the resolution of the optical system and the location of the top surface, quantities that are required in fits of 3D FEM simulations to the data, are presented; as is presented some historical information on analysis of luminescent III-V materials and devices by analysis of the DOP of the luminescence, and some information on the dependence of the DOP of luminescence on strain for InP.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.375
Threshold uncertainty score0.402

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 head0.036
GPT teacher head0.282
Teacher spread0.247 · 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