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Record W7043603897

Structural insights into f-block heterobimetallic dicyanoaurate coordination polymers

2021· dissertation· en· W7043603897 on OpenAlexfundno aff

Bibliographic record

VenueSummit (Simon Fraser University) · 2021
Typedissertation
Languageen
FieldChemistry
TopicMetal-Organic Frameworks: Synthesis and Applications
Canadian institutionsnot available
FundersSimon Fraser University
KeywordsLiquationFusible alloyQuenching (fluorescence)Feature (linguistics)Context (archaeology)
DOInot available

Abstract

fetched live from OpenAlex

The first series of uranyl ([UO2]2+)-dicyanoaurate coordination polymers has been synthesized and characterized. The diversity of structures generated demonstrates the flexibility of uranyl and dicyanoaurate as building blocks. Small changes in solvent, reactions conditions, dicyanoaurate salt, and ancillary ligands lead to a wide range of structures, ranging from molecular compounds, to a series of one-dimensional chains (including a ladder with alternating aurophilic and peroxo rungs), to a two-dimensional network of aurophilic and hydrogen-bonds, and an unusual three-dimensional lattice of tetranuclear uranyl-oxo-nitrate clusters connected by dicyanoaurate linkers, with the rotation of the clusters providing the increased dimensionality. This final material undergoes a reversible single-crystal to single-crystal transformation on exposure to or removal from water vapour. The luminescence properties of these materials have been found to range from no detectable emission, to only the uranyl-based emission being detected, to both uranyl and either Au(I) or aurophilic emission being detected. Building on this f-block chemistry, a series of lanthanide-dicyanoaurate-2,2′-bipyridine dioxide (OOBipy) coordination polymers has been created with the formula Ln(OOBipy)2(H2O)x(Au(CN2)3)·yEtOH·zH2O, where x and y = 0–2, and z = 0–4. It is possible to convert between these coordination polymers by the addition of heat or water vapour. The coordination polymers containing Sm, Eu, and Tb were found to be emissive, and those with only Eu or Tb were found to have excellent quantum yields. Attempts to create blended materials of Eu and Tb lead to the quenching of Tb’s emission, and blending of Sm and Tb produced lackluster quantum yields. A procedure to export ellipsoidal crystallographic data to 3D printing file formats was documented. This method gives the ability to export structures from the CCDC’s Mercury to 3D printing file formats, allowing 3D ellipsoidal models to be printed quickly and easily. This has been demonstrated using the uranyl-peroxo coordination polymer mentioned above. Additionally, a method of 3D printing complex or challenging structures by breaking them into parts with connectors, printing each part separately, and then assembling the structure post-printing was developed. This has advantages such as multicoloured printing, framework optimization and reduction, print time reduction, and can be used to bypass print size limitations.

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 score0.001
Threshold uncertainty score0.004

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 head0.010
GPT teacher head0.215
Teacher spread0.206 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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