Solid-State NMR Studies of Zeolites and Related Systems
Bibliographic record
Abstract
In recent years, high-resolution solid-state nuclear magnetic resonance (NMR) spectroscopy has emerged as a powerful complementary method to diffraction techniques for the investigation of zeolite molecular sieve structures. This chapter presents a description of the development of solid-state NMR as applied to zeolites and related systems, with particular emphasis on recent work and ongoing developments in the field. Although there has been some effort directed toward the study of adsorbed species and reactions of guest molecules within zeolite cavities, the chapter focuses its discussion on investigations of the molecular sieve frameworks themselves. It discusses the information regarding zeolite structure available through study of these nuclei and the interactions of their spins with local electric and magnetic fields. Zeolite ZSM-5 has the most complex unit cell of any zeolite system, and its structure represents a very demanding test of the reliability of these techniques, there being either 12 or 24 T-sites depending on the phase.
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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 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".