Solid‐State<scp>NMR</scp>of the Light Main Group Metals
Bibliographic record
Abstract
Abstract This review article discusses solid‐state nuclear magenetic resonance (SSNMR) spectroscopy of NMR‐active isotopes of the light main group metals, including lithium ( 6 Li and 7 Li), sodium ( 23 Na), aluminum ( 27 Al), potassium ( 39 K), magnesium ( 25 Mg), calcium ( 43 Ca), and beryllium ( 9 Be). All of these nuclides are quadrupolar, meaning that they have nuclear spins greater than 1/2. As a result, specialized techniques are needed to effectively acquire their spectra, which can then be analyzed to provide information on molecular‐level structure and dynamics. Work on SSNMR of 7 Li, 23 Na, and 27 Al, which are all receptive nuclides, has been essential in the development of a wide range of pulse sequences and techniques for acquiring good quality, high‐resolution SSNMR spectra. Applications of 7 Li, 23 Na, and 27 Al SSNMR are widespread, owing to the ubiquity of these elements in both natural and manmade materials. 25 Mg, 39 K, 43 Ca, and 9 Be are relatively unreceptive nuclides by comparison (the former three are low‐γ nuclides); however, much work has gone into both development of spectral acquisition methods and application of these methods to study a wide range of systems. This review article, which is directed at non‐NMR experts and/or students, provides a basic background to SSNMR of quadrupolar nuclides, and then discusses key reviews and papers which are essential for understanding the scope and potential of SSNMR of metal nuclides.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".