Effect of instantaneous and spectral diffusions on the pulsed EPR SECSY signal of an electron-nuclear spin-coupled system in a gamma-irradiated malonic acid single crystal
Bibliographic record
Abstract
Abstract The many-body effects of instantaneous and spectral diffusions due to electronic dipolar interactions of an observer electron spin of an electron-nuclear spin-coupled system of a molecule in a gamma-irradiated malonic acid single crystal, characterized by the electronic spin ½ and the nuclear spin ½, with the electrons of the other molecules in the crystal in the vicinity on the SECSY signal are investigated rigorously by numerical computation. The spectral diffusion is taken into account by considering the relevant relaxation matrix elements in the Liouville von Neumann equation, specifically, that caused by a random spin flip of the interacting electronic dipole moment in the crystal vicinity, using the analytical expression, derived by Salikhov et. al. [J. Magn. Reson (1969), 42(2), pp.255–276. (1981)]. On the other hand, the instantaneous diffusion of the observer electron due to the dipolar interaction with the electrons in the crystal vicinity, which are at, or close to, resonance of the observer electron, is taken into account by considering their random spin flips by a probability determined by the Monte-Carlo technique. It is found that the instantaneous diffusion together with the spectral diffusion, brings a better agreement of the calculated signal with the experiment.
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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 | 0.002 |
| 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 | 0.000 | 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".