<sup>133</sup>Cs NMR and ESR Studies of Cesium-Loaded LiX and LiA Zeolites
Bibliographic record
Abstract
The species generated when cesium metal was loaded into zeolites LiA, LiX, and LiLSX by vapor deposition were systematically investigated by 133 Cs NMR and ESR as a function of loading level. The primary 133 Cs NMR signal in Cs-loaded LiA at low loading was assigned to Cs + in the eight-ring SII sites and showed axial anisotropy of the chemical shift. The primary 133 Cs NMR signal in Cs-loaded LiX and LiLSX was isotropic and was assigned to Cs + dynamically exchanging among the SIII sites. This dynamics was found to be frozen out at 173 K. At higher loadings, additional broader 133 Cs NMR signals, some with large shifts, indicated the presence of diamagnetic species influenced by neighboring paramagnetic species. The ESR results were characteristic of interacting paramagnetic species, and the spin counts showed that a significant fraction of the introduced spins became spin-paired, consistent with the presence of both paramagnetic and diamagnetic clusters. The existence of caeside Cs − ion in any of these materials is still an open question.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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".