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Record W1993218450 · doi:10.1002/smll.200790031

Cover Picture: Nanorod Heterostructures Showing Photoinduced Charge Separation (Small 9/2007)

2007· paratext· en· W1993218450 on OpenAlexaff
Sandeep Kumar, Marcus Jones, Shun S. Lo, Gregory D. Scholes

Bibliographic record

VenueSmall · 2007
Typeparatext
Languageen
FieldMaterials Science
TopicQuantum Dots Synthesis And Properties
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsNanorodPhotoexcitationMicrosecondPhotoluminescenceHeterojunctionMaterials scienceOptoelectronicsPhotoinduced charge separationCharge (physics)Cover (algebra)ExcitonNanotechnologyOpticsAtomic physicsChemistryPhysicsCondensed matter physicsPhotocatalysisExcited state

Abstract

fetched live from OpenAlex

The cover picture shows a CdSe–CdTe nanorod heterostructure composite and the spectrally- and time-resolved photoluminescence from a typical sample. Photoexcitation promotes vectorial charge separation between the two halves of the rod and can be tuned by quantum confinement. Rapidly decaying CdTe emission is evident in the 650-nm region, while the charge-transfer emission—signaling recombination of the electron and hole—is seen in the near-infrared region and is found to decay on a microsecond time scale. Such a long-lived charge-separated state is a key requirement for future photovoltaic applications. For more information, please read the Full Paper “Nanorod Heterostructures Showing Photoinduced Charge Separation” by G. D. Scholes and co-workers beginning on page 1633.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.305
Threshold uncertainty score0.992

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.3050.042

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 head0.046
GPT teacher head0.274
Teacher spread0.229 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2007
Admission routes1
Has abstractyes

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