Bibliographic record
Abstract
This chapter briefly describes characterization methods for nanomaterials (NMs), along with examples based on the authors’ experience for illustrative purposes. Spectroscopy methods, including ultraviolet/visible spectroscopy, infrared spectroscopy, surface-enhanced Raman spectroscopy, nano-Raman spectroscopy, and resonance Raman spectroscopy, are reviewed with emphasis on their principle of operation and spectral interpretation. The various microscopy methods, including transmission electron microscopy, scanning electron microscopy, scanning tunneling microscopy, and atomic force microscopy, are also described in terms of the wave-particle duality property of electrons. The chapter then describes inductively coupled plasma-based methods in terms of the analytical capability provided by the use of high-density plasmas coupled to one or more complementary techniques. Finally, the chapter focuses on two of the most useful nondestructive techniques used to characterize solid NMs: dynamic light scattering and X-rays.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".