Nanoscale Properties of Block Copolymers, Perovskites and Boron Nitride Obtained by Near-field Scanning Optical Microscopy in the Infrared
Bibliographic record
Abstract
Several material types have been studied using coupled atomic force microscopy (AFM) and Infrared Spectroscopy techniques including scanning near-field optical microscopy (SNOM) and peak force infrared microscopy (PFIR). First, the different structures formed by block copolymer thin films were studied using SNOM. With SNOM, local subsurface morphologies in block copolymer thin films were revealed. Second, the degradation of perovskites under high humidity and light soaking was monitored by PFIR, x-ray diffraction and time-of-flight secondary ions mass spectrometry. Lastly, phonon polaritons in hexagonal boron nitride were studied using SNOM. It was found that structures in the boron nitride can self-launch phonon polaritons. In addition, the effect of the adjacent layer of material on the phonon polaritons in the boron nitride was investigated.
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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) | 0.002 | 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".