Mechanisms of translational and rotational energy transfer in (N2)n cluster–surface scattering
Bibliographic record
Abstract
Molecular dynamics simulations were employed to investigate the dynamics of surface-induced (N2)n cluster fragmentation. The calculated translational and rotational state distributions of the monomer products of (N2)n clusters scattered off a hard surface indicate that the translational states follow a single Maxwell–Boltzmann distribution, whereas the rotational state distributions are best represented by a sum of two distinct Boltzmann distributions, in agreement with previous experimental findings obtained with a graphite surface. Analysis of the scattering dynamics provides insight into a molecular-level explanation for the differing behaviors of energy transfer to the translational and rotational modes of the monomer products. Our simulation results indicate that translational excitation of scattered products depends on the instantaneous cluster temperature at which the monomers evaporate. The obtention of two rotational distributions indicates that two rotational excitation mechanisms occur during the scattering event. The first mechanism is related to evaporation during cluster–surface impact of molecules lying at the outskirts of the cluster. The degree of rotational excitation of these molecules is shown to depend both on the degree of cluster heating during impact and on the degree of rotational hindrance imparted on a given molecule prior to evaporation. The second mechanism is related to evaporation of molecules that were caged within the interior of the cluster during surface impact. These molecules evaporate after the molecules lying at the outskirts with a degree of excitation that depends on the stabilized instantaneous cluster temperature.
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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) | 0.000 | 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) | 0.000 | 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".