Improvement of Shock Resistance for Solid Immersion Lens-Based Near Field Recording System Using Air-Bearing Surface
Bibliographic record
Abstract
A solid immersion lens (SIL)-based near-field recording (NFR) device is regarded as the next-generation optical storage device that can achieve an areal density of more than 100 Gbyte/in. 2 . However, the NFR system is very weak to external shock because of the extremely small gap between the SIL and the disc. To solve this problem, we proposed a new method of using an air-bearing surface (ABS) to avoid collision between the SIL and the disc, and investigated the effect of the ABS on shock resistance in our previous study. In our current study, we optimize an initial ABS model using the results of our previous study and achieve an optimal ABS model with an improved shock resistance. We also verify the improvement of shock resistance for the optimal ABS model by finite element (FE) analysis, by applying the ABS model to a gap servo control system, and by experimental shock testing.
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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".