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Record W2093080802 · doi:10.1021/cm070930i

Series of Lanthanide-Alkali Metal-Organic Frameworks Exhibiting Luminescence and Permanent Microporosity

2007· article· en· W2093080802 on OpenAlexaff
Brett D. Chandler, Joanne O. Yu, David T. Cramb, George K. H. Shimizu

Bibliographic record

VenueChemistry of Materials · 2007
Typearticle
Languageen
FieldChemistry
TopicMetal-Organic Frameworks: Synthesis and Applications
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsLanthanideLuminescenceThermogravimetric analysisDifferential scanning calorimetryChemistryInorganic chemistryAlkali metalAdsorptionSorptionPhysical chemistryMaterials scienceOrganic chemistry

Abstract

fetched live from OpenAlex

A series of permanently porous luminescent lanthanide frameworks of the general formula, [Na 6 (H 2 O) 6 ][Ln(L) 4 ](H 2 O) n Cl, Ln = Sm ( 1 ), Eu ( 2 ), Gd ( 3 ), Tb ( 4 ), and Dy ( 5 ), have been prepared by the reaction of trivalent lanthanide salts with sodium-4,4‘-disulfo-2,2‘-bipyridine- N, N ‘-dioxide, L. The structures are formed via the one-pot self-assembly of the anionic cubic metalloligand, [Ln(L) 4 ] 5-, and subsequent cross-linking with sodium cations and chloride to afford a three-dimensional network with two-dimensional channels. The cross-linking units involve [Na 4 Cl] 3+ clusters which resemble ideal faces of the halite structure. Both coordinated and uncoordinated water molecules, up to ∼80%, can be reversibly removed from 1 − 5 as identified using thermal gravimetric analysis/differential scanning calorimetry (TGA/DSC) leaving a rigid and porous framework with a Dubinin−Radushkevich (DR) surface area of 426 m 2 /g determined using CO 2 adsorption. The permanent microporosity of the framework is also supported by the energy level splitting in the luminescence spectra which are maintained in both the hydrated and mostly dehydrated frameworks. Compounds 1 − 5 were each characterized by X-ray crystallography, TGA/DSC, water and CO 2 sorption analyses, and luminescence spectroscopy.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.004
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0040.000

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 head0.011
GPT teacher head0.231
Teacher spread0.220 · 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.

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

Citations113
Published2007
Admission routes1
Has abstractyes

Explore more

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