Synthesis of Porous Metallic Monoliths via Chemical Reduction of Au(I) and Ag(I) Nanostructured Sheets
Bibliographic record
Abstract
The facile fabrication of free-standing conductive Au(0) and Ag(0) nanostructured monoliths via the chemical reduction of sheets composed respectively of AuCl( n -butylamine) nanofibers and aggregated AgCl nanocubes is reported. This preparation can be performed on a large scale (hundreds of milligrams) with high yield (>74%). The product sheets have large dimensions (several cm 2 ), high conductivity (>1800 S m –1 for the Au(0) sheets), and large surface areas (2 m 2 g –1 or 400 m 2 mol –1 for the Au(0) sheets). The macroscopic structure of the Au(I) and Ag(I) sheets is preserved during the chemical reduction process. At the nanoscale the Au(I) fibers are converted into Au(0) ribbons and fibers, and the AgCl cubes are converted into porous Ag(0) cubes. The resulting porous metal sheets provide physically stable Au(0) and Ag(0) foams that are highly sought-after in catalysis, sensing, and electrocatalysis applications.
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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) | 0.000 | 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 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".