Friction in a Thin Water Layer: Dissociative versus Nondissociative Friction
Bibliographic record
Abstract
An ultrathin water film confined between two substrates in moving contact is studied using Langevin molecular dynamics with a coordinate- and velocity-dependent damping coefficient. The water molecules are modeled with the Central-Force model that allows for the dissociation of water molecules into H + and OH – . Two different friction scenarios are found depending on the applied pressure and the strength of the interaction of water with substrates. Under low loads, the water molecules stay intact during the frictional sliding. However, when the applied pressure increases past a value of ∼20 GPa, the water molecules begin to dissociate and recombine immediately in the course of sliding, which results in a large increase of friction. The rate of such dissociation is found to be roughly proportional to the speed of driving. The relation of the observed phenomena to the “superionic” and “ionic fluid” states of water and its relevance in practical friction situations is discussed.
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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".