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Record W2971296834 · doi:10.1063/1.5124200

A solar concentrator based on photonic angular selectivity

2019· article· en· W2971296834 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

VenueAIP conference proceedings · 2019
Typearticle
Languageen
FieldEngineering
Topicsolar cell performance optimization
Canadian institutionsYork University
Fundersnot available
KeywordsConcentratorOpticsPhotonicsNonimaging opticsAcceptance anglePhysicsPhotovoltaic systemSelective surfaceGeometrical opticsEquivalence (formal languages)NanophotonicsOptoelectronicsMaterials scienceEngineeringMathematics

Abstract

fetched live from OpenAlex

The design of concentrating optics for high-concentration photovoltaic systems involves the simultaneous optimization of many parameters including compactness, number of elements or interfaces, acceptance angle and irradiance uniformity. Using traditional optics, tradeoffs between these parameters become inevitable. Some of these tradeoffs can be avoided by using recently-developed angle-selective photonic materials to exploit the equivalence between angular restriction and concentration. We use these materials to experimentally demonstrate a novel design for a visible-spectrum optical concentrator. We demonstrate that the concentrator comes closer to thermodynamic ideality than standard CPV optics, and discuss their potential value in CPV systems.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.930
Threshold uncertainty score0.874

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 head0.007
GPT teacher head0.191
Teacher spread0.184 · 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