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Record W2898543277 · doi:10.1002/pssa.201800420

Recent Advances on III‐Nitride Nanowire Light Emitters on Foreign Substrates – Toward Flexible Photonics

2018· article· en· W2898543277 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuephysica status solidi (a) · 2018
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGaN-based semiconductor devices and materials
Canadian institutionsnot available
FundersKing Abdullah University of Science and TechnologyMcGill University
KeywordsPhotonicsNanowireNitrideLight-emitting diodeMaterials scienceNanotechnologyContext (archaeology)OptoelectronicsRealization (probability)Layer (electronics)

Abstract

fetched live from OpenAlex

Flexible electronic and photonic devices have received broad interest in the past, due to their compact size, new functionalities, and other merits which devices on rigid substrates do not possess. In this context, the author review recent progresses on flexible III‐nitride nanowire photonic devices, focusing on LEDs and lasers. The formation of III‐nitride nanowire LEDs and lasers directly on various foreign substrates is firstly described, paving the way to flexible III‐nitride nanowire photonic devices through either direct growth on or transfer to flexible substrates. The realization of flexible III‐nitride nanowire LEDs through various transfer processes is further detailed. In the end, the challenges of III‐nitride nanowire technology for flexible integrated photonics are discussed.

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 categoriesMeta-epidemiology (narrow)
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 score0.267
Threshold uncertainty score1.000

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)0.0010.000

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 head0.022
GPT teacher head0.280
Teacher spread0.257 · 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