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Record W2015579315 · doi:10.1117/12.906803

Two-dimensional modeling of CdZnTe/Si based dual and triple junction solar cells

2012· article· en· W2015579315 on OpenAlexaff
Yuanzhang Xiao, Z. Q. Li, Michel Lestrade, Z. M. Simon Li

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2012
Typearticle
Languageen
FieldEngineering
TopicChalcogenide Semiconductor Thin Films
Canadian institutionsCrosslight Software (Canada)
Fundersnot available
KeywordsTriple junctionSuns in alchemyQuantum efficiencyOptoelectronicsQuantum dot solar cellMaterials scienceSubstrate (aquarium)Cadmium telluride photovoltaicsSolar cellEnergy conversion efficiencyPolymer solar cell

Abstract

fetched live from OpenAlex

Based on Crosslight APSYS, we have made 2D simulation of dual and triple junction solar cells based on CdZnTe and CdTe material system on Si substrate with tunnel junctions. The basic physical quantities like band diagram, optical absorption and generation for these solar cells, and external quantum efficiency for individual subcell junctions of triple junction solar cells are obtained. Current matching analyses and multi-sun concentration simulation are also performed. The modeling shows efficiency 28.85% (one sun AM1.5G) for CdZnTe/Si dual junction solar cells and efficiency 34.92% (one sun AM1.5G) and maximum 39.09% (multi-sun concentration around 500-700 suns) for CdZnTe/CdTe/Si triple junction solar cells. The presented results indicate that the dual and triple junction solar cells with II-VI CdZnTe and CdTe on Si can achieve efficiency comparable to those III-V based compound on Ge substrate.

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 score0.014
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.015
GPT teacher head0.217
Teacher spread0.202 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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Same venueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIESame topicChalcogenide Semiconductor Thin FilmsFrench-language works237,207