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Record W4403000453 · doi:10.1016/j.nanoms.2024.09.009

Introducing oxygen evolution promoting hole defect states at BiVO4 surface for enhanced photoelectrochemical activity

2024· article· en· W4403000453 on OpenAlexafffund
Fatima Chmali, Basanth S. Kalanoor, Shankara S. Kalanur, Bruno G. Pollet

Bibliographic record

VenueNano Materials Science · 2024
Typearticle
Languageen
FieldEnergy
TopicAdvanced Photocatalysis Techniques
Canadian institutionsUniversité du Québec à Trois-Rivières
FundersNatural Sciences and Engineering Research Council of CanadaUniversité du Québec à Trois-Rivières
KeywordsOxygen evolutionMaterials scienceSurface statesPhotoelectrochemistryOxygenOptoelectronicsSurface (topology)NanotechnologyChemical physicsChemistryElectrochemistryPhysical chemistryElectrode

Abstract

fetched live from OpenAlex

Doping metal ions offer a promising strategy to tune the intrinsic and surface properties of BiVO 4 for enhanced photoelectrochemical (PEC) activity. Given this, experimental and theoretical studies on cadmium (Cd) doping to BiVO 4 photoanode were studied for PEC water splitting applications. The spectroscopic and PEC results indicate that the substitution of Cd at Bi lattice sites causes the reduction in the valence state of V 5+ to V 4+ that creates hole trap states below the Fermi level of BiVO 4 . The introduced hole trap states at the BiVO 4 surface suppress the charge recombination and provide effective hole transfer sites for the facile water oxidation reactions. The Cd-BiVO 4 exhibited significantly higher photocurrent compared to the pristine BiVO 4 reaching 3.5 ​mA ​cm ₋2 (with a hole scavenger) at 1.23 ​V vs RHE. Furthermore, doping increases the carrier density in the bulk of BiVO 4 leading to improved charge separation, and charge transfer while reducing the hole transfer resistance at the interface. The Cd-doped BiVO 4 exhibited a charge separation efficiency of 80 ​% and with a 90 ​% of overall water splitting faradaic efficiency. Importantly, the results of this work propose the advantages of doping metal ions at Bi lattice sites in BiVO 4 for improved PEC activity.

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)0.001
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 score0.018
Threshold uncertainty score0.882

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.008
GPT teacher head0.279
Teacher spread0.270 · 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

Citations6
Published2024
Admission routes2
Has abstractyes

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