Modeling and Estimation of the Volume of Interaction of an Electrostatic Force Microscope Probe with a Dielectric Sample
Bibliographic record
Abstract
This thesis seeks to characterize the size of the interaction volume in a sample subject to electric force microscope (EFM) probing. It discusses the historical relevance of the EFM and the experimental method used. It then discusses the modeling of the fields surrounding the grating sample with the equivalent charge model (ECM) where a tip or other rotationally symmetric conducting element is replaced by a series of point charges on the vertical axis that mimic the original fields. The results of the model were then compared to the experimental data as well as a model simulated using COMSOL, a finite element analysis package. The electrostatic model was found to have good agreement with the simulated and experimental results and was then used to estimate the volume of interaction and the lateral resolution of this technique. The volume of interaction was estimated at 6000 μm3 and the lateral resolution was estimated at 10 μm.
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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".