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Record W2068835658 · doi:10.1109/pvsc.2010.5616486

Modeling of CdZnTe and CIGS and tandem solar cells

2010· article· en· W2068835658 on OpenAlexaff
Yuanzhang Xiao, Z. Q. Li, Michel Lestrade, Z. M. Simon Li

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicChalcogenide Semiconductor Thin Films
Canadian institutionsCrosslight Software (Canada)
Fundersnot available
KeywordsCopper indium gallium selenide solar cellsTandemOptoelectronicsQuantum efficiencyMaterials scienceAbsorption (acoustics)Layer (electronics)Solar cellNanotechnologyComposite material

Abstract

fetched live from OpenAlex

Based on Crosslight APSYS, single junction CdZnTe and CIGS solar cells as well as two-terminal CdZnTe/CIGS tandem cells with tunnel junction are modeled. Basic physical quantities like band diagrams, optical absorption and generation are obtained. Quantum efficiency and I–V curves are presented. The results are discussed with respect to the interface recombination velocity, the related material defect trap states and the top TCO layer affinity. The projected efficiency obtained is 26% for the modeled two-terminal CZT/CIGS tandem cell. The modeling results give possible clues for developing related tandem solar cells with enhanced efficiency.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.010
GPT teacher head0.190
Teacher spread0.181 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations12
Published2010
Admission routes1
Has abstractyes

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