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Record W4394938278 · doi:10.1039/d3tc04635d

Heterometallic {Re<sub>4</sub>Mo<sub>2</sub>Q<sup>i</sup><sub>8</sub>} cluster-based building blocks: towards the rational nanoarchitectonics of optimized photoelectrodes for solar cells and water splitting

2024· article· en· W4394938278 on OpenAlexfundno aff
Tatiana I. Lappi, Stéphane Cordier, Yakov M. Gayfulin, Soraya Ababou‐Girard, Thi Kim Ngân Nguyên, Fabien Grasset, Tetsuo Uchikoshi, Н.Г. Наумов, Adèle Renaud

Bibliographic record

VenueJournal of Materials Chemistry C · 2024
Typearticle
Languageen
FieldChemistry
TopicInorganic Chemistry and Materials
Canadian institutionsnot available
FundersAmbassade de France à MoscouMinistry of Science and Higher Education of the Russian FederationInstitute of Circulatory and Respiratory HealthCentre National de la Recherche ScientifiqueAgence Nationale de la Recherche
KeywordsMaterials scienceMolybdenumCluster (spacecraft)RheniumWater splittingMixing (physics)OptoelectronicsNanotechnologyPhotocatalysisMetallurgyPhysicsCatalysisChemistry

Abstract

fetched live from OpenAlex

The mixing of rhenium and molybdenum within the same heterometallic cluster enables to modulate optoelectronic properties of the photo-active layers. Such {Re 4 Mo 2 Q 8 }-based photoelectrodes appear promising for the photoelectrochemical water splitting.

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)0.002
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 score0.005
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.010
GPT teacher head0.222
Teacher spread0.212 · 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

Citations6
Published2024
Admission routes1
Has abstractyes

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Same venueJournal of Materials Chemistry CSame topicInorganic Chemistry and MaterialsFrench-language works237,207