Tip-enhanced Raman spectroscopy: application to the study of single silicon nanowire and functionalized gold surface
Bibliographic record
Abstract
Tip-Enhanced Raman spectroscopy is used to probe isolated silicon nanowires and functionalized gold surface with the goal to evaluate the improvements in lateral resolution and surface sensitivity of this method. The setup that involves the combination of and atomic force microscope and a confocal microscope in back-scattering geometry is described together with the optical alignment procedure used to ideally excite the localized surface plasmon of the metallized tip that acts as the nanoprobe. Once aligned, the tip, in feedback with the sample surface, is positioned at a given point and the Raman spectrum is acquired. The sample is then scanned point-by-point and a TERS map is generated for the object or surface of interest. This approach shows an improved lateral spatial resolution for the single silicon nanowires together with relevant information on the induced stress on the nanowire. Last, we show that the proximity of the TERS tip over an ultraflat gold nanoplate functionalized with an azobenzene thiol molecule, largely enhance the vibrational signal from a single monolayer.
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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".