Molecular dynamics simulation of 13C NMR powder lineshapes of CO in structure I clathrate hydrate
Bibliographic record
Abstract
Guest molecules in nonspherical cages of inclusion compounds can possess non-uniform spatial distributions and motion. This can lead to anisotropic lineshapes in the solid-state NMR spectra of the guest species. In this work, we use our previously developed molecular dynamics-based methodology to calculate the lineshape anisotropy of guest CO species in cages of the structure I (sI) clathrate hydrate as an example of the above phenomenon. The linear CO molecules in the oblate large sI clathrate hydrate cages have a preferential alignment in the plane parallel to the two hexagonal faces of the cages. Molecular dynamics simulations are performed at three temperatures in the stability range of the CO sI clathrate to determine the angular distribution of the CO guests in the large and small cages. The experimental (13)C NMR powder lineshapes of CO guests in the large cages become narrower as the temperature is increased from 77 K to 220 K (the limit of the stability of the clathrate). Good agreements between the calculated and experimental powder lineshapes are obtained. No assumptions regarding the nature of the guest motions in the cages are required. The dynamics of guest rotation are characterized by studying the orientational autocorrelation function (OACF) for the CO molecules in the large and small cages at different temperatures.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".