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Record W2559193340 · doi:10.1021/acsphotonics.6b00717

Ultrafast Charge-Carrier Dynamics of Copper Oxide Nanocrystals

2016· article· en· W2559193340 on OpenAlexafffund
Brandon Born, Jeffrey D. A. Krupa, Simon Geoffroy-Gagnon, Ilija R. Hristovski, Christopher M. Collier, Jonathan F. Holzman

Bibliographic record

VenueACS Photonics · 2016
Typearticle
Languageen
FieldMaterials Science
TopicCopper-based nanomaterials and applications
Canadian institutionsUniversity of GuelphUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
FundersWestern Economic Diversification CanadaNatural Sciences and Engineering Research Council of CanadaUniversity of British ColumbiaCanada Foundation for Innovation
KeywordsExcitonMaterials scienceCharge carrierBand gapFick's laws of diffusionUltrafast laser spectroscopyUltrashort pulseNanocrystalOxideRelaxation (psychology)Time constantMolecular physicsChemical physicsCondensed matter physicsSpectroscopyOptoelectronicsNanotechnologyChemistryDiffusionPhysicsOptics

Abstract

fetched live from OpenAlex

In this work, a detailed investigation is carried out on copper oxide, in the form of cupric oxide (CuO) nanocrystals. Particular attention is paid to the bandstructure and ultrafast charge-carrier dynamics. Transient absorption spectroscopy is carried out with an above-bandgap pump beam and below-bandgap probe beam to glean insight on the relaxation and recombination dynamics of the CuO nanocrystals at various pump fluences. Three time constants are apparent. The first time constant varies with pump fluence from 330 to 630 fs, and it is attributed to momentum relaxation via carrier–carrier scattering in the valence band as well as exciton–exciton annihilation. The second time constant is constant at 2 ps, and it is attributed to energy relaxation via carrier-phonon scattering within the valence band. The third time constant is constant at 50 ps, and it is attributed to trapping and recombination, due to the high density of trap states within the CuO nanocrystals. Such findings lay the foundation for future studies and applications of the emerging CuO material system.

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 score0.003
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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.235
Teacher spread0.224 · 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

Citations37
Published2016
Admission routes2
Has abstractyes

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