MétaCan
Menu
Back to cohort
Record W4392820140

Etude de systèmes supramoléculaires pour l'optimisation de la conversion ascendante de photons

2022· preprint· fr· W4392820140 on OpenAlexaboutno aff
Lohona K. Soro

Bibliographic record

Venuetheses.fr (ABES) · 2022
Typepreprint
Languagefr
FieldMaterials Science
TopicLuminescence Properties of Advanced Materials
Canadian institutionsnot available
Fundersnot available
KeywordsPhoton upconversionSupramolecular chemistryTwo-photon excitation microscopyPhotonMaterials scienceComputer scienceNanotechnologyOptoelectronicsChemistryPhysicsOpticsOrganic chemistryMolecule
DOInot available

Abstract

fetched live from OpenAlex

The realization of this thesis was possible thanks to the funding of the ministère de l’enseignement supérieur, de la recherche et de l’innovation, through the France-Canada Research Fund. The aim of this thesis is to study supramolecular systems in order to increase the efficiency of photon upconversion (UC).The first system studied is constituted of Tb(III) ions in the presence of Yb(III) complexes according to the cooperative sensitization mechanism and allowed to understand the UC process. An interest was then focused on nonanuclear clusters of Yb(III) and Tb(III) ions which confer an increased proximity between the ions. The optimization of these systems has led to the best UC quantum yield (2.8×10-6 @ 2.86 W.cm-2) at the molecular scale at present. By using homonuclear clusters of Yb(III), the observation for the first time of the cooperative luminescence mechanism with supramolecular systems was possible. A more detailed study, allowing to confirm the realization of this mechanism with at least two Yb(III) ions was then carried out, by the use of Yb(III) dimers. Finally, an assembly between Yb(III) complexes and a Ru(II) complex was synthesized, resulting in the observation of the UC for the first time with energy transfer from an f element to a d one.

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)0.006
metaresearch head score (Gemma)0.002
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 score0.039
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.001

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 head0.019
GPT teacher head0.286
Teacher spread0.267 · 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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venuetheses.fr (ABES)Same topicLuminescence Properties of Advanced MaterialsFrench-language works237,207