Characterization of the Interface of Gold and Silver Nanostructures on InP and GaAs Synthesized via Galvanic Displacement
Bibliographic record
Abstract
This work describes an investigation of the nature of the interface formed between the metals gold and silver, and the technologically relevant semiconductor substrates, InP and GaAs, produced via room temperature galvanic displacement. Immersion of these III−V semiconducting materials in a solution of the ionic gold and silver precursors results in deposition of firmly bound metal on the surface with varying morphologies, depending upon the conditions. Depth profile XPS indicates the presence of sandwiched intermetallic layers in the case of gold on GaAs and InP, but little evidence of a corresponding intermetallic with silver was observed. Cross section scanning Auger electron line profile spectra suggest little diffusion of the metals into the semiconductor lattice. It appears, therefore, that in the case of gold on InP and GaAs, dissociative diffusion of the semiconductor into the metal is favored, leading to a structure in which the intermetallic is located at an abrupt semiconductor-intermetallic boundary. The compositions of the gold intermetallics for GaAs and InP are most likely γ-Au 9 Ga 4 and AuGa for the first and AuIn and AuIn 2 for the second, respectively.
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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 | 0.000 |
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".