Modeling of Surface Forces between Micron-Sized Objects in Dry Condition
Bibliographic record
Abstract
Capillary, van der Walls (vdW) and electrostatic forces, which usually termed as surface forces, can significantly affect the behavior and performance of Micro Electro Mechanical Systems (MEMS) containing surfaces that can contact each other. Here, we are concerned with vdW force, which is the dominant surface force between conducting surfaces in the dry condition. In this study, we first review existing roughness models described by stochastic processes of Gaussian and Fractal type. Then, the vdW force is formulated using two methods by considering the first and second order probability density function (pdf) of the height distribution of rough surfaces. The resulting formulae are functions of the correlation ( ñ) between successive sampling points. By analyzing these formulae based on the correlation and other parameters, the upper and lower bound of vdW force are identified and a numericalbased closed-form formula for the upper bound is derived. Finally, various situations are discussed based on the developed equations and data from a surface micro machining process.
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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 | 0.001 | 0.001 |
| Open science | 0.001 | 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".