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Record W2797239036 · doi:10.1002/solr.201800007

Plasmon‐Enhanced Silicon Nanowire Array‐Based Hybrid Heterojunction Solar Cells

2018· article· en· W2797239036 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

VenueSolar RRL · 2018
Typearticle
Languageen
FieldEngineering
TopicNanowire Synthesis and Applications
Canadian institutionsÉcole de Technologie Supérieure
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsPEDOT:PSSMaterials scienceSurface plasmon resonanceOptoelectronicsHeterojunctionPlasmonNanowireHybrid solar cellSiliconNanotechnologyPhotovoltaic systemEnergy conversion efficiencyNanoparticleOpen-circuit voltageSilver nanoparticlePolymer solar cellLayer (electronics)Voltage

Abstract

fetched live from OpenAlex

In the last decade, freestanding, single crystal silicon nanowires (SiNWs) have attracted significant attention as a potential material for low‐cost optoelectronic devices. In this paper, we demonstrate how strong localized surface plasmon modes, induced using silver nanoparticles, can be used to achieve significant improvement in a simple hybrid organic–inorganic photovoltaic device between n‐type silicon nanowires and poly(3,4‐ethylenedioxythiophene):poly‐(styrenesulfonate) (PEDOT:PSS). At photon energies above plasmon resonance, metallic nanoparticle‐induced absorption leads to a dramatic reduction of the reflectivity and we report a significant improvement in both the short circuit current density ( J sc ) and the open circuit voltage ( V oc ). This leads to an overall 52% increase in the power conversion efficiencies (PCEs) of the photovoltaic devices when decorating the SiNWs with silver nanoparticles prior to PEDOT:PSS deposition.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.150
Threshold uncertainty score0.999

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)0.0000.001

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 head0.008
GPT teacher head0.201
Teacher spread0.194 · 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