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Record W1978344138 · doi:10.1109/pvsc.2013.6744900

Optimization of bonded III-V on Si multi-junction solar cells

2013· article· en· W1978344138 on OpenAlex
Jingfeng Yang, R. N. Kleiman

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 institutionsMcMaster University
Fundersnot available
KeywordsSuns in alchemyMaterials scienceOptoelectronicsSolar cellSiliconContact resistanceMetalCoupling (piping)Layer (electronics)NanotechnologyComposite material

Abstract

fetched live from OpenAlex

In this work, a high efficiency III-V on Si 3-junction solar cell achieved through intermediate metal connection and areal current matching is presented. The cell has an efficiency of 25.8% under 1 sun AM 1.5G. Factors that are important to the further improvement of the cell performance are discussed. By advanced optical coupling methods, the reflection loss at the bonding interface can be reduced to less than 5%. Shadowing loss can be reduced to less than 10% by using aligned intermediate metal contact schemes. The bonding resistance is measured to be around 0.012 Ohm-cm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> , enabling operation of the cell up to illumination of 50 suns. This work also discusses the enhanced resistance to spectral variations for multi-junction cells operating under varying environmental conditions using the areal current matching technique.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.778
Threshold uncertainty score1.000

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.179
Teacher spread0.171 · 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

Citations3
Published2013
Admission routes1
Has abstractyes

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