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Record W2076125455 · doi:10.1109/appeec.2012.6307199

Comparison of Photovoltaic Performance Enhancement in BiFeO3 by Using Graphene and Carbon Nanotubes as Transparent Electrode

2012· article· en· W2076125455 on OpenAlexaff
Xiao Wu, Dan Xie, Yu Chen, Yongyuan Zang, Xiao Li, Zhen Li, Hongwei Zhu, Tingting Feng, He Tian, Tian‐Ling Ren

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicMultiferroics and related materials
Canadian institutionsMcGill University
Fundersnot available
KeywordsGrapheneMaterials scienceCarbon nanotubeFerroelectricityElectrodeNanotechnologyCrystallitePolarization (electrochemistry)OptoelectronicsChemistryDielectricPhysical chemistry

Abstract

fetched live from OpenAlex

Enhanced photovoltaic performance of BiFeO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sub> (BFO) material by utilizing graphene and carbon nanotubes (CNT) as transparent electrodes is compared for the first time. The short circuit current density and open circuit voltage are measured to be 34μA/cm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> , 2.4μA/cm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> , 0.27V and 0.31V by utilizing graphene and carbon nanotubes (CNT), respectively, much higher than the value reported in polycrystalline BFO. A theoretical model considering ferroelectric polarization, interface state, and energy band bending are constructed to investigate the carrier transportation behavior of the BFO solar cell. A Photochromic film is also proposed as an interesting application by using graphene/BFO/Pt solar cell as a photo detector.

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 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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.458

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)0.0000.000

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 head0.038
GPT teacher head0.314
Teacher spread0.276 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations5
Published2012
Admission routes1
Has abstractyes

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