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Record W1970737052 · doi:10.1021/jp901995c

Electronic States and Exciton Fine Structure in Colloidal CdTe Nanocrystals

2009· article· en· W1970737052 on OpenAlexaff
Haizheng Zhong, Michelle Nagy, Marcus Jones, Gregory D. Scholes

Bibliographic record

VenueThe Journal of Physical Chemistry C · 2009
Typearticle
Languageen
FieldMaterials Science
TopicQuantum Dots Synthesis And Properties
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsExcited stateNanocrystalCadmium telluride photovoltaicsExcitonPhotoluminescenceColloidMaterials scienceExcitationElectronic structureSpectroscopyQuantum dotMolecular physicsChemical physicsAtomic physicsNanotechnologyCondensed matter physicsChemistryOptoelectronicsPhysical chemistryPhysics

Abstract

fetched live from OpenAlex

We prepared colloidal zinc-blend CdTe nanocrystals (NCs) with sizes ranging from 1.85 to 6.6 nm. Temperature-controlled two-dimensional photoluminescence excitation spectroscopy was applied to investigate their size-dependent electronic properties and enabled the examination of up to nine electronic excited states. At low temperatures, the exciton fine structure of the first excited state was significantly enhanced, which allowed an accurate measurement of the exchange splitting energy for the CdTe NCs via estimations of the resonant Stokes shift. It was found that the exchange splitting energy in zinc blend CdTe NCs decreases linearly with R −3.17, which is consistent with the theoretical prediction of R −3 .

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)0.000
metaresearch head score (Gemma)0.000
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 score0.008
Threshold uncertainty score0.223

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.005
GPT teacher head0.216
Teacher spread0.211 · 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

Citations30
Published2009
Admission routes1
Has abstractyes

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