Environmental Influence on Stripe Formation at the Graphite‐Water Interface
Bibliographic record
Abstract
Understanding the characteristics of graphite-water interfaces is of scientific significance and practical importance. Ordered stripe structures have been observed at this interface, with their origins debated between condensed gas molecules and airborne hydrocarbons. Atomic force microscopy (AFM) studies have revealed variations in the morphology, formation and growth of these ordered structures. Here, we investigate the graphite-water interface under different environmental conditions using PeakForce Quantitative Nanomechanical (PF-QNM) AFM. Our findings reveal that stripe structures with 4 nm width and 0.5 nm periodicity, form and grow under wet laboratory conditions but not in pure inert gas or cleanroom environments. These stripes appear more readily when the graphite surface is immersed in water, with growth associated with gas nanodomains on the surface. This suggests that atmospheric contaminants migrate to the water-graphite interface, potentially facilitated by gas states. These findings underscore the impact of environmental conditions on graphitic materials, providing new insights into the mechanisms underlying stripe formation and growth.
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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) | 0.001 | 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".