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Record W4392979881 · doi:10.1021/acsaem.3c03269

Observing Long-Lived Photogenerated Holes in Cobalt Oxyhydroxide Oxygen Evolution Catalysts

2024· article· en· W4392979881 on OpenAlexfundno aff
Ruben Mirzoyan, Alec H. Follmer, Ryan G. Hadt

Bibliographic record

VenueACS Applied Energy Materials · 2024
Typearticle
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsnot available
FundersNational Institutes of HealthNatural Sciences and Engineering Research Council of CanadaCalifornia Institute of Technology
KeywordsCobaltOxygen evolutionCatalysisOxygenMaterials sciencePhotochemistryEnvironmental scienceChemistryMetallurgyElectrochemistryElectrodePhysical chemistry

Abstract

fetched live from OpenAlex

Steady-state and time-resolved spectroelectrochemical optical absorption techniques were used to investigate photoexcited states of amorphous cobalt-phosphate oxyhydroxide (CoPi) and cobalt-borate oxyhydroxide (CoBi) oxygen evolution catalysts. These materials revealed concurrent spectroelectrochemical intensity changes in their ground-state and photoexcited visible spectra, providing insights into the dynamics of defect states attributable to trapped holes. Notably, long-lived photoexcited states, assignable to hole-based defects persisting beyond 10 ms in H 2 O, were observed in CoPi and CoBi for the first time. With 380 nm band gap excitation and delays shorter than 10 ps, excited-state decay for CoPi was markedly faster than for CoBi, despite the ultimately longer lived signal of CoPi beyond the ms time scale. The distinct kinetic profiles highlight the films’ differences in structural and electronic properties despite strong similarities in absorption spectral profiles. These results provide further insights into the differences between the electronic properties and dynamics of CoPi and CoBi, which have been challenging to structurally and electronically characterize due to their amorphous nature.

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 score0.090
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.012
GPT teacher head0.222
Teacher spread0.210 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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