NoSpherA2 in the Hands of a Synthetic Chemist: The Future is Now
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Notice bibliographique
Résumé
The importance of single-crystal X-ray crystallography (SC-XRD) to advances in molecular chemistry of all kinds is unquestionable. After more than a century of SC-XRD, 2023 saw the Cambridge Structure Database reach 1.25 million deposited organic and metal-organic structures. After a century of improvements in diffraction hardware in both the home lab and from using beam lines, the focus has now shifted to ways of improving the crystallographic model used in X-ray diffraction to generate the calculated structure factors Fc, which are used in comparison with the squares of the intensity data Fo. It is of course these two terms that are compared in the infamous ‘R-factor’ that is commonly used as a short-hand metric for the quality of a crystal structure: R1 = Σ||Fo| − |Fc||/Σ|Fo|. The release in 2021 of a new software suite called NoSpherA2, (NOn- SPHERical Atom-form-factors in Olex2), promises to place the fruits of advanced quantum crystallographic methods into the hands of ordinary chemist-crystallographers through its incorporation into the highly popular Olex2 GUI for SC-XRD. NoSpherA2 is an implementation of Hirshfeld Atom Refinement (HAR) that makes use of tailor-made aspherical atomic scattering (form) factors calculated on-the-fly from a Hirshfeld-partitioned electron density (ED). The ED is calculated from a Gaussian basis set single determinant SCF wavefunction using standard DFT methods. This presentation will describe the implementations of Olex2/NoSpherA2 in the author’s lab over the past four years in numerous published and unpublished crystal structure refinements. Applications to pure organic, metal-organic coordination compound, supramolecular interactions via hydrogen-bonding, halogen bonding and chalcogen bonding, and hydrated transition metal salt structures have been undertaken. To assess the impact on, and possible improvements in, refinement models, we routinely monitor comparisons of NoSpherA2 models with those refined in the Independent Atom Model using olex2.refine. A surprising and very important finding has been the improvement in the precision determined for light atom bond distances (most commonly C-C, but also C-Br or S-O interatomic distances). Furthermore, correlations have been established between various markers of “data set quality” with improvements in bond precision. Our most important discovery has been the smooth transition observed from mediocre datasets (where NoSpherA2 often has negligible impact on precision) to good datasets (where NoSpherA2 can make dramatic improvements in precision), with thus far a lack of evident deleterious consequences. That is, good data sets yield improved structure models, whilst poor datasets at the least see no improvements, which supports widescale adoption of the method. This will lead into a discussion of when (at the current stage of development) and when not to use NoSpherA2. This presentation will outline the workflows we have adopted to achieve best practices with NoSpherA2, with advice for potential adopters. As with any major change in methodology, the community of chemical crystallographers will need to develop protocols to ensure best practices amongst the wider group of users. Advice for Service Crystallographers in dealing with conservative-minded synthetic chemist clients will be discussed, and motivations for adopting the new methods, especially for routine structure modelling, will be considered. Future prospects will be considered, relevant to the changing world of synthetic chemistry and our trainees.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle