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Record W2560130210 · doi:10.1021/acsenergylett.6b00612

Graphene Oxide Shells on Plasmonic Nanostructures Lead to High-Performance Photovoltaics: A Model Study Based on Dye-Sensitized Solar Cells

2016· article· en· W2560130210 on OpenAlex
Yoon Hee Jang, Adila Rani, Li Na Quan, Valerio Adinolfi, Pongsakorn Kanjanaboos, Olivier Ouellette, Taehwang Son, Yu Jin Jang, Kyungwha Chung, Hannah Kwon, Donghyun Kim, Dong Ha Kim, Edward H. Sargent

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

VenueACS Energy Letters · 2016
Typearticle
Languageen
FieldMaterials Science
TopicQuantum Dots Synthesis And Properties
Canadian institutionsUniversity of Toronto
FundersNational Research Foundation of KoreaNational Research Foundation
KeywordsMaterials sciencePhotocurrentGraphenePlasmonDye-sensitized solar cellPhotovoltaicsNanotechnologyEnergy conversion efficiencyOptoelectronicsPlasmonic solar cellPhotovoltaic systemSolar cellNanoparticlePlasmonic nanoparticlesHybrid solar cellNanostructurePolymer solar cellElectrodeChemistryElectrolyte

Abstract

fetched live from OpenAlex

The incorporation of plasmonic nanoparticles (NPs) into photovoltaic devices can increase light absorption and in turn improve solar cell performance. The graphene oxide-encapsulated gold NPs (Au@GO NPs) are designed and incorporated into photoanodes to demonstrate plasmonic dye-sensitized solar cells. The coupling between GO and the Au NPs has the beneficial effect of extending solar spectral utilization in the long-wavelength portion of the visible spectrum. In addition, GO encapsulation reduces charge recombination on the surface of the NPs and facilitates improved charge transport. As a result, champion devices with plasmonic photoanodes containing Au@GO NPs deliver a power conversion efficiency that reaches 9.1%. This corresponds to an enhancement in photocurrent and power conversion efficiency of 19 and 17%, respectively, compared to control devices.

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 categoriesMeta-epidemiology (narrow)
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 score0.053
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 science0.0010.000
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 head0.012
GPT teacher head0.197
Teacher spread0.185 · 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