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Record W2327666417 · doi:10.1117/12.2212960

Enhanced photocarrier extraction mechanisms in ultra-thin photovoltaic GaAs n/p junctions

2016· article· en· W2327666417 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2016
Typearticle
Languageen
FieldEngineering
Topicsolar cell performance optimization
Canadian institutionsInstitut interdisciplinaire d'innovation technologiqueOptech (Canada)Université de Sherbrooke
FundersNational Research Council Canada
KeywordsOptoelectronicsCommon emitterMaterials scienceExtraction (chemistry)Photovoltaic systemGallium arsenideElectric fieldElectrodeThin filmNanotechnologyElectrical engineeringChemistryPhysics

Abstract

fetched live from OpenAlex

PV devices with active areas of ~3:4 mm<sup>2</sup> were fabricated and tested with top electrodes having different emitter gridline spacings with active area shadowing values between 0% and 1.8%. As expected, the thicker <i>n/p</i> junctions exhibit hindered photocarrier extraction, with low fill factor (FF) values, for devices prepared with sparse gridline designs. However, this study clearly demonstrates that for thin <i>n/p</i> junctions photocarrier extraction can still be efficient (FF &gt; 80%) even for devices with no gridlines, which we explain using a TCAD model. The electric field profiles of devices with and without hindered photocarrier extraction are also 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)0.001
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 score0.148
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.008
GPT teacher head0.214
Teacher spread0.206 · 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