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Record W2069834449 · doi:10.1021/ic0513888

Structural Constraints in the Design of Silver Sulfonate Coordination Networks:  Three New Polysulfonate Open Frameworks

2005· article· en· W2069834449 on OpenAlexafffund
D.J. Hoffart, S.A. Dalrymple, George K. H. Shimizu

Bibliographic record

VenueInorganic Chemistry · 2005
Typearticle
Languageen
FieldChemistry
TopicMetal-Organic Frameworks: Synthesis and Applications
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsChemistrySulfonateMetal-organic frameworkCrystallographyYield (engineering)SorptionMoleculeChemical engineeringPhysical chemistryOrganic chemistrySodiumThermodynamicsPhysics

Abstract

fetched live from OpenAlex

Three new silver sulfonate metal-organic frameworks are presented along with a design strategy for future generations. [[Ag6(mesitylenetrisulfonate)2(H2O)5].2H2O]infinity (1), [Ag4(durenetetrasulfonate)(H2O)2](infinity) (2), and [[Ag4(1,3,5,7-tetrakis(4,4'-sulfophenyl)adamantane)(H2O)2].1.3H2O]infinity (3) represent a series of open-framework silver sulfonate solids where the organic linker plays a key role in determining the overall structure. Compound 1 forms a pillared layered structure, while compounds 2 and 3 form 3-D nets derived from cross-linking of 1-D columns of silver sulfonates. All three solids incorporate water molecules, which can be removed to yield a solid stable to in excess of 300 degrees C. Powder X-ray diffraction studies and vapor sorption experiments show, for 1 and 2, that the solids retain their structure when guests are removed and, for all three, that water vapor is resorbed stoichiometrically by the solids. An idealized silver sulfonate framework is proposed, and upon comparison to the reported structures, guidelines are proposed for structural constraints in the design of future generations of 1-D and possibly 0-D aggregate structures.

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 categoriesMeta-epidemiology (narrow), Insufficient 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 score0.081
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.000

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 head0.022
GPT teacher head0.256
Teacher spread0.233 · 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

Citations64
Published2005
Admission routes2
Has abstractyes

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