Anisotropic Nanomaterials: Silver-Copper Oxide Core-Partial Shell Nanoparticles
Bibliographic record
Abstract
Anisotropic materials have a variety of unique properties and potential applications, including catalysis and directed assembly.As such, production of anisotropic nanoparticles is of interest.In this work, the production of core-partial shell silver nanocube-copper oxide nanoparticles, is the goal.To produce these particles, the silver nanocubes are deposited onto polystyrene thin films, and are embedded into the polymer to a controlled depth.This allows for control over the exposed surface, which is the surface available for coating with copper oxide.These nanoparticles can be removed from the surface by dissolving the polystyrene, allowing their in-solution properties to be probed.In order to produce these structures, several set-ups were tried, leading to the development of a promising final set-up.Each of the set-ups had different stirring rates, stability of the attached slide and production of bubbles, which can interfere with the production of copper oxide shells.With the initial set-ups, the order and rate of addition of the reducing agent, hydrazine, or the copper precursor, copper nitrate, were varied, with and without lactic acid and for both supported and embedded nanocubes.The produced morphologies varied for different order and rate of addition of precursors, therefore, allowing for control over the produced morphology by changing these parameters.With the final set-up, an investigation on the amount of copper precursor, sodium hydroxide, and lactic acid for a constant amount of reducing agent was investigated.It was observed that without lactic acid, the produced shells did not increase in coverage II with increased concentrations.However, with lactic acid, the produced structures increase in thickness from low to intermediate concentrations, but at the highest concentration, very little copper oxide was deposited on the cubes' surfaces, as growth had occurred in solution.With this type of method, core-partial shell particles can be successfully produced.Future work should involve further effort for the optimization of the order of addition, and concentrations of precursors, for fine control over the produced structures.
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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) | 0.001 | 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".