Pushing Limits of Ultra-wideline Solid-State NMR Spectroscopy: NMR Signatures of <sup>209</sup>Bi and <sup>127</sup>I in Metal–Organic Frameworks at Ultra-high Magnetic Fields
Bibliographic record
Abstract
Abstract Bismuth- and iodine-containing metal–organic frameworks (MOFs) are crucial in catalysis, gas adsorption, and luminescence, with local environments of Bi and I ions shaping their performance. Using 209Bi and 127I solid-state NMR (SSNMR) for characterization is extremely challenging due to the exceedingly large quadrupolar interactions in MOFs. Here, we present ultra-wideline (UW) SSNMR spectra of eight MOFs acquired at ultra-high magnetic fields up to 36 T, with breadths of 8–50 MHz, revealing very large quadrupolar couplings. These spectra uncover key structural details, including dehydration, guest adsorption, phase transitions, and disorder. This study establishes 209Bi and 127I UW SSNMR as powerful tools for probing Bi and I ions in weight-dilute systems, offering broad applications in catalysis, solar cells, biochemistry, and beyond.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".