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Record W4404784546 · doi:10.26434/chemrxiv-2024-zwdmd

Copper(I) Bis(diimine) Sensitized Titania Nanotube Array Photoelectrodes for Photoelectrochemical Water Oxidation

2024· preprint· en· W4404784546 on OpenAlexfundno aff
Joseph Chiong, Zujhar Singh, Joseph Ricardo-Noordberg, Nhat Truong Nguyen, Marek B. Majewski

Bibliographic record

VenueChemRxiv · 2024
Typepreprint
Languageen
FieldEnergy
TopicTiO2 Photocatalysis and Solar Cells
Canadian institutionsnot available
FundersFonds de recherche du Québec – Nature et technologiesNatural Sciences and Engineering Research Council of Canada
KeywordsDiimineCopperNanotubePhotoelectrochemistryMaterials scienceAnodic oxidationChemical engineeringPhotochemistryNanotechnologyChemistryElectrochemistryCatalysisMetallurgyElectrodeCarbon nanotubeOrganic chemistry

Abstract

fetched live from OpenAlex

Dye-sensitized photoelectrochemical cells (DS-PECs), devices inspired by photosynthesis, are being developed to advance the goal of using the sun as the sole source of energy for converting abundant resources to fuel and valuable chemicals. Herein, we report using compact and vertically aligned titanium dioxide nanotubes as semiconducting materials functionalized with a molecular copper(I) bis(diimine)-based donor-chromophore-acceptor to yield a photoanode capable of carrying out oxidative processes. Surface characterization and photoelectrochemical studies point to the nanotubes being intrinsically sensitized with carbon impurities for visible light absorption. The ability of unfunctionalized and dye-sensitized photoanodes to drive oxidative processes is further confirmed photoelectrochemically and in the presence of a water oxidation catalyst where a Faradaic efficiency of 84% is found for oxygen production.

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)0.001
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 score0.049
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.014
GPT teacher head0.243
Teacher spread0.229 · 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.

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

Citations0
Published2024
Admission routes1
Has abstractyes

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