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Record W3137222379 · doi:10.1002/pip.3404

Three‐junction monolithic interconnected modules for concentrator photovoltaics

2021· article· en· W3137222379 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueProgress in Photovoltaics Research and Applications · 2021
Typearticle
Languageen
FieldEngineering
Topicsolar cell performance optimization
Canadian institutionsInstitut interdisciplinaire d'innovation technologiqueUniversité de Sherbrooke
FundersCollege of Natural Resources and Sciences, Humboldt State UniversityInstitut National des Sciences Appliquées de LyonFonds de recherche du Québec – Nature et technologiesUniversité Grenoble AlpesNatural Sciences and Engineering Research Council of CanadaUniversité de SherbrookeCalifornia Postsecondary Education CommissionIndian National Science AcademyCentre National de la Recherche ScientifiqueUniversity of Ottawa
KeywordsSuns in alchemyFabricationResistive touchscreenOptoelectronicsWaferMaterials scienceConcentratorPhotovoltaic systemPhotovoltaicsElectrical contactsElectrical engineeringEnergy conversion efficiencyEngineering

Abstract

fetched live from OpenAlex

Abstract A core issue in concentrator photovoltaic technology (CPV) is the resistive losses in cells that usually limits the maximum photoconversion efficiency under high concentration. We propose the use of three‐junction monolithic interconnected modules (MIM) to mitigate resistive losses by providing high‐voltage low‐current power. First, we present the fabrication of InGaP/InGaAs/Ge front‐contacted microcells with various designs and dimensions. Front‐contacted cells are the key enabler for the MIM fabrication and demonstrate good electrical characteristics under one sun, similar to standard‐contacted cells. The base front contact size is minimized to limit the unutilized area on the wafer. Second, fabrication techniques for interconnecting cells in MIM are described. Finally, electrical measurements show a record conversion efficiency of 35.1% under 798 suns for the first three‐junction MIM reported (17.8% when considering the entire device area). Versatility and further optimization of the devices are discussed to enlarge their field of application.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.857
Threshold uncertainty score0.671

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 head0.041
GPT teacher head0.319
Teacher spread0.277 · 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