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Record W2202580017 · doi:10.1109/pvsc.2015.7356072

Studying anomalous open-circuit voltage drop-out in concentrated photovoltaics using computational numerical analysis

2015· article· en· W2202580017 on OpenAlex
Margaret A. Stevens, Chandler Downs, D. B. Emerson, James H. Adler, Scott MacLachlan, Thomas E. Vandervelde

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

Venuenot available
Typearticle
Languageen
FieldEngineering
Topicsolar cell performance optimization
Canadian institutionsMemorial University of Newfoundland
FundersNational Science Foundation
KeywordsOpen-circuit voltageVoltagePhotovoltaicsVoltage dropMaterials scienceThermalSemiconductorOptoelectronicsSolar cellCurrent densityMechanicsComputational physicsPhotovoltaic systemPhysicsElectrical engineeringThermodynamicsEngineering

Abstract

fetched live from OpenAlex

Under ultra-high solar concentration, an anomalous open-circuit voltage drop-out has been observed experimentally, but not understood theoretically. This anomaly is often attributed to various thermal effects but is also observed in flash testing, where thermal effects do not have time to accumulate. As the optically generated carrier density increases past the equilibrium carrier density, open-circuit voltage and other important electrical properties could deteriorate. Using Newton linearizations and the finite-element library deal.II, we developed a computational model to solve the carrier continuity equations for optically generated charge carriers as a function of material depth in bulk III-V semiconductors.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.558
Threshold uncertainty score0.727

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.067
GPT teacher head0.279
Teacher spread0.212 · 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

Quick stats

Citations1
Published2015
Admission routes1
Has abstractyes

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