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Record W2318794097 · doi:10.1021/cg4012795

Utilizing the π-Acidity of Boron Subphthalocyanine To Achieve Novel Solid-State Arrangements

2013· article· en· W2318794097 on OpenAlexaff
Andrew S. Paton, Graham E. Morse, Alan J. Lough, Timothy P. Bender

Bibliographic record

VenueCrystal Growth & Design · 2013
Typearticle
Languageen
FieldMaterials Science
TopicPorphyrin and Phthalocyanine Chemistry
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsStackingBoronSubstituentChemistryMoleculeSolid-stateCrystallographyCrystal structureComputational chemistryStereochemistryOrganic chemistryPhysical chemistry

Abstract

fetched live from OpenAlex

The ability to control the solid-state structure of organic electronic materials can have a large effect on the quality of the devices to which they are applied. In this paper, we describe the use of π–π interactions to direct the crystal structure/solid-state arrangement of boron subphthalocyanine (BsubPc) derivatives by taking advantage of the π-electron-deficiency (π-acidity) of the BsubPc molecular fragment. First, we outline why BsubPc is a π-acid by looking at its chemical characteristics and the structure of crystals formed with other π-acidic moieties. Then we show how the solid-state arrangement of BsubPc can be purposefully altered by adding π-basic substituents. We found that adding a naphthoxy substituent provides an interaction that is strong enough to direct BsubPc into a novel solid-state arrangement made up of ribbons (or catemers) of molecules linked through π-stacking interactions between the naphthoxy and neighboring BsubPc molecular fragments. A similar effect was also seen when the naphthoxy fragment was added to the stronger π-acid perfluoro-BsubPc (F 12 BsubPc).

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 score0.032
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.037
GPT teacher head0.261
Teacher spread0.224 · 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

Citations17
Published2013
Admission routes1
Has abstractyes

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