X-ray Spectroscopy of Silver Nanostructures toward Antibacterial Applications
Bibliographic record
Abstract
Ag nanostructures have a wide variety of uses in areas such as biological science and catalysis. Determination of the structural properties of Ag nanostructures can assist in the understanding of the mechanisms involved in these processes. This review provides a summary of recently published work with Ag nanostructures including very small Ag nanoclusters, larger Ag nanocrystals, and Ag nanoalloys. X-ray absorption spectroscopy (XAS) is used to elucidate structural and electronic information about the Ag nanostructures, which is then used to provide insight as to the antibacterial activities of the Ag nanostructures. Some unique features of our XAS analysis on Ag nanostructures include multiedge and multielement measurements, multishell fitting and wavelet transformation (WT) of extended X-ray absorption fine structure (EXAFS), and the correlation between X-ray absorption near edge structure (XANES) and density functional theory (DFT) modeling.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".