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Record W4210241959 · doi:10.51167/acm00027

Two-Electrode Solar Water Splitting Permitting H2 Separation at a Dark Cathode

2021· article· en· W4210241959 on OpenAlexaff
Ken Sakai, Hironobu Ozawa

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsUniversité de Montréal
FundersJapan Society for the Promotion of ScienceSeikei University
KeywordsCathodeElectrodeWater splittingAnodeArtificial photosynthesisExplosive materialAqueous solutionElectronMaterials scienceOptoelectronicsChemical engineeringNanotechnologyChemistryPhysicsPhotocatalysis

Abstract

fetched live from OpenAlex

We want to develop an artificial photosynthetic water splitting device enabling the separate evolution of H2 and O2 in two different aqueous phases. This approach avoids the evolution of a potentially explosive H2/O2 gas mixture together with the development of a gas separation facility required to capture H2 from the mixture. We are thus attempting to develop a two-electrode system for solar-light water splitting with the anode only subjected for photo-driven water oxidation to uptake electrons and protons, as nature does. Our target device converts the electrons transferred to the cathode directly to H2 without light illumination, as is the case for the Calvin cycle where CO2 is converted into glucose as a dark reaction. An outstanding feature also lies in the high specific surface areas of both electrodes due to the mesoporous nature of the TiO2 films adopted as the electrode materials.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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 communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.010
GPT teacher head0.253
Teacher spread0.243 · 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 source (direct Gemma or distilled Codex), 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

Citations4
Published2021
Admission routes1
Has abstractyes

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