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Record W2006278081 · doi:10.1063/1.4753824

Effects of quantum dot layers on the behavior of multijunction solar cell operation under concentration

2012· article· en· W2006278081 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 · 2012
Typearticle
Languageen
FieldEngineering
Topicsolar cell performance optimization
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsSuns in alchemyQuantum dotSolar cellMaterials scienceOptoelectronicsQuantum efficiencyCarrier lifetimeAbsorption (acoustics)Multiple exciton generationAttenuation coefficientGallium arsenideSolar cell efficiencyPhysicsOpticsSilicon

Abstract

fetched live from OpenAlex

The key effects of adding quantum dots in the middle sub-cell of a lattice matched triple junction solar cell are studied as a function of concentration in an advanced numerical simulation environment. The quantum dots are modeled using an effective medium which contains a quantum mechanical absorption coefficient, quantum dot to bulk carrier dynamics and minority carrier lifetimes. In the presented study, we report a change in efficiency between −0.2% and +0.8% for the QD enhanced design relative to the control design at 1 sun and an efficiency increase between +0.1 % and +1.2% at 1000 suns. The difference in this behavior over concentration for the different designs is predominantly due to an increase in overall recombination rates in the intrinsic region of the middle sub-cell.

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 score0.415
Threshold uncertainty score0.426

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 communication0.0000.001
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 head0.015
GPT teacher head0.213
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