Stabilization of transient negative ions by vibrational energy transfer: A cluster and thin film study on SF6 and C6F6
Bibliographic record
Abstract
Resonant low energy electron attachment to SF6 and C6F6 in argon clusters and on a multilayer krypton film is presented. The energy dependence of the absolute attachment cross sections for the condensed molecules is determined in the range 0–8 eV by measuring charge localization on the film. We find a cross section maximum of (3.0±0.8)×10−15 cm2 at 60 meV for SF6− formation, which is close to the gas phase value. For C6F6, we obtain a maximum value (4.8±1.2)×10−15 cm2 at 75 meV. In contrast to isolated gas phase molecules, where both ions are only observed in a very narrow energy range around 0 eV, SF6− resulting from electron attachment to clusters is observed up to 1.5 eV. The same is true for the condensed submonolayers, where charge localization is observed up to 1.5 eV for SF6. The extension of stable SF6− formation to much higher energies in condensed media is attributed to the transfer of intramolecular vibrational energy from SF6− to phonon vibrational modes of the Ar cluster or the Kr multilayer film. C6F6− formation is also observed up to 1.7 eV from clusters, but on the film, charge localization is only detected up to 0.7 eV. This difference is explained by the orientation of the C6F6 molecules on the rare gas film, which diminishes vibrational energy transfer to the phonon bath of the Kr lattice. Similar results are also obtained for the dimeric configurations of these molecules seeded into Ar clusters.
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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) | 0.002 | 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 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".