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Record W4403542406 · doi:10.26434/chemrxiv-2024-75n7q

Photoluminescent Properties of Tb-UiO-66 Metal–Organic Frame-work Analogues

2024· preprint· en· W4403542406 on OpenAlexafffund
Ximena A. Canales Gálvez, Micaela Richezzi, Hudson A. Bicalho, Natalia Labadie, Silvina C. Pellegrinet, Hatem M. Titi, Ashlee J. Howarth

Bibliographic record

VenueChemRxiv · 2024
Typepreprint
Languageen
FieldMaterials Science
TopicLuminescence Properties of Advanced Materials
Canadian institutionsMcGill UniversityConcordia University
FundersNatural Sciences and Engineering Research Council of CanadaConsejo Nacional de Ciencia y Tecnología, GuatemalaAgencia Nacional de Promoción de la Investigación, el Desarrollo Tecnológico y la InnovaciónFonds de recherche du QuébecConcordia University
KeywordsPhotoluminescenceFrame (networking)Frame workWork (physics)MetalMaterials scienceOptoelectronicsComputer scienceMetallurgyPhysicsTelecommunicationsTheoretical physicsThermodynamics

Abstract

fetched live from OpenAlex

Three new analogues of Tb-UiO-66 with various functional groups (–F, –Br, –NH2) on the terephthalic acid linker of the metal–organic framework (MOF) are synthesized and characterized. The photoluminescent properties of these analogues, as well as Tb-UiO-66 and Tb-UiO-66-(OH)2, are studied and correlated to the calculated energies for the triplet (T1) states of each linker. The results show that the addition of electron withdrawing groups, such as –F and –Br, lead to higher T1 energies, resulting in quantum yields in the range of 6-31 %. The addition of electron donating groups, on the other hand, lowers the T1 energy of the organic linker and inhibits energy transfer such that emission is not observed.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.014
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.032
GPT teacher head0.246
Teacher spread0.214 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2024
Admission routes2
Has abstractyes

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