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Record W4396801325 · doi:10.1107/s2053273323091842

Recent developments in cocrystal engineering <i>via</i> σ-hole interactions. Synergies from X-ray diffraction, solid-state NMR and computational chemistry

2023· article· en· W4396801325 on OpenAlexaff
David L. Bryce

Bibliographic record

VenueActa Crystallographica Section A Foundations and Advances · 2023
Typearticle
Languageen
FieldChemistry
TopicCrystallography and molecular interactions
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsCocrystalDiffractionSolid-state nuclear magnetic resonanceCrystallographySolid-stateCrystal engineeringChemistryX-ray crystallographyMaterials scienceComputational chemistryPhysicsNuclear magnetic resonancePhysical chemistryCrystal structureMoleculeOpticsHydrogen bondSupramolecular chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Non-covalent -hole interactions, including e.g., halogen bonds, chalcogen bonds, pnictogen bonds, and tetrel bonds, offer a substantial range of cocrystal engineering opportunities in part owing to their tuneability and directionality.Simultaneously, the diversity of elements capable of acting as -hole donor and acceptor atoms presents interesting opportunities and challenges for study via solid-state nuclear magnetic resonance, given the broad array of isotopic properties associated with these elements including their natural abundances, nuclear quadrupole moments, and magnetogyric ratios (e.g., 13 C, 15 N, 17 O, 19 F, 77 Se, 125 Te, 127 I, 121/123 Sb, etc.).In this talk, I will provide a survey of our recent efforts to engineer, characterize, and understand the structural chemistry of several novel cocrystals featuring halogen bonds (Fig. 1), chalcogen bonds (Fig. 2), pnictogen bonds, and/or tetrel bonds [1][2][3][4][5][6].Synthetic methods include slow evaporation, ball milling, gentle mechanochemical grinding, and resonant acoustic mixing.Efforts are made to understand the relationship between experimentally measured NMR and NQR parameters, e.g., quadrupolar coupling and chemical shift tensors, with the aid of advanced density functional theory computations and X-ray diffraction data.Such relationships can be difficult to quantify due to the important role of crystal packing effects and of relativity on the NMR parameters.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.938
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.007
GPT teacher head0.248
Teacher spread0.241 · 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 designNot applicable
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
Published2023
Admission routes1
Has abstractyes

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