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Record W2749510986 · doi:10.1021/acs.cgd.7b00777

Comparing Crystallizations in Three Dimensions and Two Dimensions: Behavior of Isomers of [2,2′-Bipyridine]dicarbonitrile and [1,10-Phenanthroline]dicarbonitrile

2017· article· en· W2749510986 on OpenAlexafffund
Aneeshma Peter, Midhun Mohan, Thierry Maris, James D. Wuest, Adam Duong

Bibliographic record

VenueCrystal Growth & Design · 2017
Typearticle
Languageen
FieldEngineering
TopicSurface Chemistry and Catalysis
Canadian institutionsUniversité de MontréalUniversité du Québec à Trois-Rivières
FundersUniversité de MontréalNatural Sciences and Engineering Research Council of CanadaCanada Research ChairsCanada Foundation for InnovationUniversité du Québec à Trois-Rivières
KeywordsIntermolecular forceChemistryMonolayerCrystallographyScanning tunneling microscopePhenanthrolineBipyridineSingle crystalDiffraction2,2'-BipyridineChemical physicsCrystal structureMoleculeNanotechnologyMaterials scienceOpticsOrganic chemistryPhysics

Abstract

fetched live from OpenAlex

Various symmetric isomers of [2,2′-bipyridine]dicarbonitrile and [1,10-phenanthroline]dicarbonitrile were crystallized from solution and also deposited as monolayers adsorbed on graphite. The resulting three- and two-dimensional (3D and 2D) structures were studied by single-crystal X-ray diffraction and scanning tunneling microscopy, respectively. Previous comparisons of 3D and 2D structures have provided new understanding of molecular organization and have revealed that crystals and adlayers can have closely analogous structures despite the effects of the underlying surface, especially when organization is dominated by strong intermolecular interactions within a single plane. The present study extends previous work by showing that analogous 3D and 2D structures can be formed even when association is directed by weaker intermolecular forces, as exemplified by C–H···N interactions of nitriles.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.127
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.030
GPT teacher head0.249
Teacher spread0.219 · 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

Citations9
Published2017
Admission routes2
Has abstractyes

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