Glassy Dynamics, Aging in Mobility, and Structural Relaxation of Strongly Adsorbed Polymer Films: Corrugation or Confinement?
Bibliographic record
Abstract
A molecular dynamics simulation (MD) of a generic model for polymers adsorbed on a discrete surface is presented. We investigate the effect of surface roughness on the film's diffusion constant, its influence on aging, and other properties. The model reproduces many experimentally observed features such as logarithmic aging of structural properties with time, a power law aging of the diffusion constant D, and the anomalous dependence of mobility with surface coverage. It is shown that the glassy dynamics is intimately linked to the roughness, which can be controlled by changing the interaction potential between surface atoms and adsorbed particles. We observe a logarithmic increase in the structure factor with aging time and a power law decay in D only if the corrugation is sufficiently high. For a smooth surface, no such time dependence is observed, even if adhesion and thus confinement is increased. We also address the question as to why the mobility of adsorbed polymers can initially increase with surface coverage Γ when Γ is low.
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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 | 0.001 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".